CN111079466A - Vehicle identification method and device, electronic equipment and storage medium - Google Patents
Vehicle identification method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a vehicle identification method, a vehicle identification device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring target vehicle characteristics of a target vehicle to leave a parking lot, wherein the target vehicle characteristics comprise: determining characteristics based on characteristic areas of the target vehicle, wherein the characteristic areas are areas containing multi-type characteristic information of the target vehicle; matching the obtained target vehicle characteristics with vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, to obtain vehicle characteristics matched with the target vehicle characteristics; and determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle. Therefore, the technical scheme provided by the embodiment of the invention realizes vehicle identification based on various characteristics of the vehicle, and is not like the prior art, and only depends on single license plate information, so that the accuracy of vehicle identification can be improved.
Description
Technical Field
The present invention relates to the field of image processing, and in particular, to a vehicle identification method and apparatus, an electronic device, and a storage medium.
Background
A parking lot refers to a place for use in parking a vehicle. The main task is to keep the parked vehicles and collect the parking fee.
Existing parking lots are usually equipped with intelligent electronic devices, which can be used to identify vehicles entering and leaving the parking lot, and then monitor vehicles entering and leaving the parking lot. For each vehicle entering the parking lot, the intelligent electronic equipment identifies the license plate of the vehicle, stores the license plate information of the vehicle and takes the license plate information of the vehicle as the identification information of the vehicle; similarly, for each vehicle leaving the parking lot, the intelligent electronic device identifies the license plate of the vehicle, matches the license plate information of the license plate with the stored license plate information, and if the matching is successful, the vehicle is identified successfully.
However, if a vehicle enters the parking lot, the intelligent electronic device successfully identifies the license plate of the vehicle, and if the vehicle leaves the parking lot, the intelligent electronic device fails to successfully identify the license plate of the vehicle, which results in a failure in matching the license plate information, and at this time, the intelligent electronic device fails to identify the vehicle leaving the parking lot. Therefore, the vehicle identification method in the prior art is low in vehicle identification accuracy rate due to the fact that the vehicle identification method only depends on the single characteristic of the license plate information.
Disclosure of Invention
The embodiment of the invention aims to provide a vehicle identification method, a vehicle identification device, electronic equipment and a storage medium, so as to improve the accuracy of vehicle identification. The specific technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a vehicle identification method, where the method includes:
obtaining target vehicle characteristics of a target vehicle to leave a parking lot, wherein the target vehicle characteristics comprise: determining features based on feature regions of the target vehicle, wherein the feature regions are regions containing multi-class feature information of the target vehicle;
matching the obtained target vehicle characteristics with vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, so as to obtain vehicle characteristics matched with the target vehicle characteristics;
and determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle.
Optionally, the step of obtaining the target vehicle characteristic of the target vehicle to leave the parking lot includes:
acquiring a target vehicle image of a target vehicle to leave a parking lot, wherein the target vehicle image is acquired by an image acquisition device and comprises a characteristic region of the target vehicle;
and performing feature recognition on the target vehicle image to obtain the target vehicle feature of the target vehicle.
Optionally, the step of matching the obtained target vehicle feature with the vehicle feature of each vehicle entering the parking lot to obtain the vehicle feature matched with the target vehicle feature includes:
calculating the similarity between the obtained target vehicle characteristics and the vehicle characteristics of each vehicle entering the parking lot, which are stored in advance;
and determining the vehicle characteristics matched with the target vehicle characteristics based on the calculated similarity.
Optionally, the step of determining the vehicle feature matching the target vehicle feature based on the calculated similarity includes:
determining the maximum similarity from the calculated similarities;
and determining the vehicle characteristic corresponding to the maximum similarity as the vehicle characteristic matched with the target vehicle characteristic.
Optionally, the step of determining the vehicle feature matching the target vehicle feature based on the calculated similarity includes:
determining the target similarity greater than the preset similarity from the calculated similarities;
displaying a reference vehicle image corresponding to the determined target similarity, wherein the reference vehicle image is a vehicle image of a vehicle entering the parking lot, which is acquired by a pre-stored image acquisition device;
and when a selection instruction of a user is received, determining the vehicle feature corresponding to the reference vehicle image corresponding to the selection instruction in the displayed reference vehicle image as the vehicle feature matched with the target vehicle feature.
Optionally, before the step of obtaining the target vehicle characteristic of the target vehicle to leave the parking lot, the method further includes:
acquiring license plate information of a target vehicle to be left from a parking lot;
judging whether reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information;
if so, determining the vehicle corresponding to the reference license plate information matched with the license plate information as a target vehicle;
and if not, executing the step of acquiring the target vehicle characteristics of the target vehicle to leave the parking lot.
Optionally, after the step of obtaining the license plate information of the target vehicle to leave the parking lot, the method further includes:
judging whether the confidence coefficient of the license plate information is greater than a preset confidence coefficient;
if so, executing the step of judging whether reference license plate information matched with the license plate information exists in each prestored reference license plate information.
Optionally, after the step of determining the vehicle corresponding to the vehicle feature matching the target vehicle feature as the target vehicle, the method further includes:
and deleting pre-stored vehicle characteristics matched with the target vehicle characteristics, pre-stored reference vehicle images corresponding to the selection instructions and pre-stored reference license plate information matched with the license plate information.
Optionally, the vehicle features include at least two of the following vehicle features: brand identification information, size information, color information, and license plate information.
In a second aspect, an embodiment of the present invention provides a vehicle identification apparatus, including:
a vehicle characteristic obtaining module, configured to obtain a target vehicle characteristic of a target vehicle to leave a parking lot, where the target vehicle characteristic includes: determining features based on feature regions of the target vehicle, wherein the feature regions are regions containing multi-class feature information of the target vehicle;
the vehicle characteristic matching module is used for matching the obtained target vehicle characteristics with vehicle characteristics of all vehicles entering the parking lot, which are stored in advance, so as to obtain vehicle characteristics matched with the target vehicle characteristics;
and the target vehicle determining module is used for determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle.
Optionally, the vehicle characteristic obtaining module is specifically configured to:
acquiring a target vehicle image of a target vehicle to leave a parking lot, wherein the target vehicle image is acquired by an image acquisition device and comprises a characteristic region of the target vehicle;
and performing feature recognition on the target vehicle image to obtain the target vehicle feature of the target vehicle.
Optionally, the vehicle feature matching module includes:
a similarity calculation unit configured to calculate a similarity between the obtained target vehicle feature and a vehicle feature of each vehicle entering the parking lot, which is stored in advance;
and the vehicle characteristic determining unit is used for determining the vehicle characteristic matched with the target vehicle characteristic based on the calculated similarity.
Optionally, the vehicle characteristic determining unit is specifically configured to:
determining the maximum similarity from the calculated similarities;
and determining the vehicle characteristic corresponding to the maximum similarity as the vehicle characteristic matched with the target vehicle characteristic.
Optionally, the vehicle characteristic determining unit is specifically configured to:
determining the target similarity greater than the preset similarity from the calculated similarities;
displaying a reference vehicle image corresponding to the determined target similarity, wherein the reference vehicle image is a vehicle image of a vehicle entering the parking lot, which is acquired by a pre-stored image acquisition device;
and when a selection instruction of a user is received, determining the vehicle feature corresponding to the reference vehicle image corresponding to the selection instruction in the displayed reference vehicle image as the vehicle feature matched with the target vehicle feature.
Optionally, the apparatus further comprises:
the license plate information acquisition module is used for acquiring the license plate information of the target vehicle to leave the parking lot before the step of acquiring the target vehicle characteristics of the target vehicle to leave the parking lot;
the license plate information judging module is used for judging whether reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information;
if the vehicle information judgment module judges that reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information, triggering the target vehicle determination module to determine a vehicle corresponding to the reference license plate information matched with the license plate information as a target vehicle;
and if the vehicle information judging module judges that reference license plate information matched with the license plate information does not exist in the prestored reference license plate information, triggering the vehicle characteristic acquiring module to execute the step of acquiring the target vehicle characteristic of the target vehicle to leave the parking lot.
Optionally, the apparatus further comprises:
the confidence coefficient judging module is used for judging whether the confidence coefficient of the license plate information is greater than a preset confidence coefficient or not after the step of acquiring the license plate information of the target vehicle leaving the parking lot;
if so, triggering the license plate information judging module to execute the step of judging whether reference license plate information matched with the license plate information exists in the prestored reference license plate information.
Optionally, the apparatus further comprises:
and the vehicle information deleting module is used for deleting the pre-stored vehicle characteristics matched with the target vehicle characteristics, the pre-stored reference vehicle images corresponding to the selection instructions and the pre-stored reference license plate information matched with the license plate information after the step of determining the vehicle corresponding to the vehicle characteristics matched with the target vehicle characteristics as the target vehicle.
Optionally, the vehicle features include at least two of the following vehicle features: brand identification information, size information, color information, and license plate information.
In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor and the communication interface complete communication between the memory and the processor through the communication bus;
a memory for storing a computer program;
and a processor configured to implement the vehicle identification method according to the first aspect when executing the program stored in the memory.
In a fourth aspect, the embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the vehicle identification method according to the first aspect.
According to the technical scheme provided by the embodiment of the invention, the target vehicle characteristics of the target vehicle to leave the parking lot are obtained, wherein the target vehicle characteristics comprise: determining characteristics based on characteristic areas of the target vehicle, wherein the characteristic areas are areas containing multi-type characteristic information of the target vehicle; matching the obtained target vehicle characteristics with vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, to obtain vehicle characteristics matched with the target vehicle characteristics; and determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle. Therefore, the technical scheme provided by the embodiment of the invention realizes vehicle identification based on various characteristics of the vehicle, and is not like the prior art, and only depends on single license plate information, so that the accuracy of vehicle identification can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for identifying a vehicle according to an embodiment of the present invention;
FIG. 2 is a flow chart of another vehicle identification method provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a vehicle identification apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to solve the technical problem of low vehicle identification accuracy in the prior art, embodiments of the present invention provide a vehicle identification method, an apparatus, an electronic device, and a storage medium.
In a first aspect, a vehicle identification method provided by an embodiment of the invention is described below.
It should be noted that the vehicle identification apparatus of the vehicle identification method provided in the embodiment of the present invention may be a vehicle identification apparatus, and the vehicle identification apparatus may be operated in an electronic device, where the electronic device may be an image capture device installed in a parking lot, such as a camera intelligent electronic device, and may also be a background server in communication with the image capture device, which is reasonable.
As shown in fig. 1, a vehicle identification method according to an embodiment of the present invention may include the following steps:
s110, obtaining target vehicle characteristics of a target vehicle to leave a parking lot, wherein the target vehicle characteristics comprise: the characteristic region is a region containing multiple types of characteristic information of the target vehicle based on the determined characteristic of the characteristic region of the target vehicle.
In order to better manage the individual vehicles in the parking lot, vehicle identification of the target vehicle is required for each target vehicle leaving the parking lot.
In order to reduce the problem of low accuracy of vehicle identification caused by only depending on a single characteristic of license plate information, when the vehicle is identified, the target vehicle characteristic of the target vehicle leaving the parking lot can be obtained. The vehicle characteristics of the target vehicle can be various, and the characteristics capable of identifying the target vehicle can be the target vehicle characteristics of the target vehicle.
In one embodiment, the target vehicle characteristic of the target vehicle may be: brand identification information of the target vehicle, size information of the target vehicle, color information of the target vehicle, license plate information of the target vehicle, and the like. The embodiment of the invention does not specifically limit the target vehicle characteristics of the target vehicle.
It is understood that when the target vehicle feature of the target vehicle is obtained, the vehicle image of the target vehicle may be obtained first. In one embodiment, the step of obtaining the target vehicle characteristic of the target vehicle to leave the parking lot may include the steps of:
acquiring a target vehicle image of a target vehicle to leave a parking lot, wherein the target vehicle image is acquired by image acquisition equipment and comprises a characteristic area of the target vehicle;
and carrying out feature recognition on the target vehicle image to obtain the target vehicle feature of the target vehicle.
In this embodiment, the image capturing device captures a target vehicle image of the target vehicle, and in order to be able to acquire a target vehicle feature of the target vehicle from the target vehicle image, the target vehicle image may include a feature region of the target vehicle, and the feature region is a region containing a plurality of types of feature information of the target vehicle. After the target vehicle image is obtained, the target vehicle image is subjected to feature recognition, and the target vehicle feature of the target vehicle can be obtained. Those skilled in the art can understand how to perform feature recognition on the target vehicle image, and the embodiment of the present invention is not described in detail herein.
For example, the target vehicle image of the target vehicle includes the entire region of the target image, and by performing feature recognition on the target vehicle image, the vehicle features such as brand identification information, size, color, license plate information of the target vehicle, and other identification information on the body of the target vehicle can be obtained.
And S120, matching the obtained target vehicle characteristics with the vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, so as to obtain the vehicle characteristics matched with the target vehicle characteristics.
It should be noted that, for better management of the vehicles in the parking lot, for each vehicle entering the parking lot, the image capturing device may capture a vehicle image of the vehicle, which may include a characteristic region of the vehicle; the vehicle recognition device may perform feature recognition on the vehicle image to obtain vehicle features of each vehicle entering the parking lot, and store the obtained vehicle features of each vehicle entering the parking lot.
In this way, after the target vehicle feature of the target vehicle to leave the parking lot is obtained, the target vehicle feature may be matched with the vehicle features of the respective vehicles entering the parking lot, which are stored in advance, to obtain the vehicle feature matched with the target vehicle feature.
In one embodiment, the step of matching the obtained target vehicle feature with the vehicle feature of each vehicle entering the parking lot to obtain the vehicle feature matching the target vehicle feature may include:
calculating the similarity between the obtained target vehicle characteristics and the vehicle characteristics of each vehicle entering the parking lot, which are stored in advance;
and determining the vehicle characteristics matched with the target vehicle characteristics based on the calculated similarity.
In this embodiment, in determining the vehicle feature that matches the target vehicle feature, the similarity of the target vehicle feature to the vehicle features of the respective vehicles entering the parking lot that are stored in advance may be calculated. Those skilled in the art can understand the calculation method of the similarity, and the calculation method of the similarity is not specifically limited in the embodiment of the present invention.
It is understood that the higher the similarity between the vehicle characteristic of a vehicle and the target vehicle characteristic, the closer the vehicle characteristic of the vehicle and the target vehicle characteristic are, the higher the matching degree between the vehicle characteristic of the vehicle and the target vehicle characteristic is. Similarly, the lower the similarity between the vehicle feature of a vehicle and the target vehicle feature is, the greater the difference between the vehicle feature of the vehicle and the target vehicle feature is, and the lower the matching degree between the vehicle feature of the vehicle and the target vehicle feature is. Therefore, the vehicle feature that matches the target vehicle feature may be determined based on the similarity of the target vehicle feature and the vehicle features of the respective vehicles that enter the parking lot that are stored in advance.
For clarity of layout and completeness of solution, a specific implementation manner of determining the vehicle feature matching the target vehicle feature based on the calculated similarity will be described in the following embodiments.
And S130, determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle.
After the vehicle feature matching the target vehicle feature is determined, it is described that the vehicle corresponding to the vehicle feature matching the target vehicle feature is the vehicle corresponding to the target vehicle feature, that is, the vehicle corresponding to the vehicle feature matching the target vehicle feature is the target vehicle.
Therefore, compared with the prior art, the technical scheme provided by the embodiment of the invention can improve the accuracy of vehicle identification. For example, in an application scenario, when a target vehicle enters a parking lot, a license plate area of the target vehicle is not covered by sludge, and a vehicle recognition device can acquire license plate information of the target vehicle; when a target vehicle leaves a parking lot, a part of the license plate area of the target vehicle is shielded by sludge, the vehicle recognition device cannot successfully acquire complete license plate information of the target vehicle, and if the vehicle recognition method in the prior art is adopted, the license plate information matching fails, so that the vehicle recognition device cannot recognize the target vehicle through the license plate information. By the vehicle identification method provided by the embodiment of the invention, the vehicle identification device can acquire target vehicle characteristics such as license plate identification information, size information, color information, partial license plate information and the like of the target vehicle, and match the acquired target vehicle characteristics with the vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, to acquire the vehicle characteristics matched with the target vehicle characteristics, namely, the vehicle corresponding to the vehicle characteristics matched with the target vehicle characteristics can be acquired, so that the target vehicle is identified.
According to the technical scheme provided by the embodiment of the invention, the target vehicle characteristics of the target vehicle to leave the parking lot are obtained, wherein the target vehicle characteristics comprise: determining characteristics based on characteristic areas of the target vehicle, wherein the characteristic areas are areas containing multi-type characteristic information of the target vehicle; matching the obtained target vehicle characteristics with vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, to obtain vehicle characteristics matched with the target vehicle characteristics; and determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle. Therefore, the technical scheme provided by the embodiment of the invention realizes vehicle identification based on various characteristics of the vehicle, and is not like the prior art, and only depends on single license plate information, so that the accuracy of vehicle identification can be improved.
For clarity of layout and completeness of the scheme, a specific implementation manner of determining the reference image matched with the first vehicle image based on the calculated similarity will be described in the following embodiments.
In one embodiment, the step of determining the vehicle feature matching the target vehicle feature based on the calculated respective similarities includes:
determining the maximum similarity from the calculated similarities;
and determining the vehicle characteristic corresponding to the maximum similarity as the vehicle characteristic matched with the target vehicle characteristic.
In general, the higher the similarity between the vehicle characteristic of a vehicle and the target vehicle characteristic, the closer the vehicle characteristic of the vehicle and the target vehicle characteristic are, the higher the matching degree between the vehicle characteristic of the vehicle and the target vehicle characteristic is. Therefore, after the similarity degrees are obtained through calculation, the maximum similarity degree can be determined from the similarity degrees obtained through calculation; among the vehicle features of the respective vehicles entering the parking lot, which are stored in advance, the vehicle feature corresponding to the maximum similarity is the highest in similarity with the target vehicle feature, and the vehicle feature corresponding to the maximum similarity is the highest in matching degree with the target vehicle feature, and therefore, the vehicle feature corresponding to the maximum similarity may be determined as the vehicle feature matching the target vehicle feature.
In another embodiment, the step of determining the vehicle feature matching the target vehicle feature based on the calculated respective similarities includes:
determining the target similarity greater than the preset similarity from the calculated similarities;
displaying a reference vehicle image corresponding to the determined target similarity, wherein the reference vehicle image is a vehicle image of a vehicle entering a parking lot, which is acquired by image acquisition equipment and stored in advance;
and when a selection instruction of a user is received, determining the vehicle feature corresponding to the reference vehicle image corresponding to the selection instruction in the displayed reference vehicle image as the vehicle feature matched with the target vehicle feature.
In practical applications, the vehicle feature corresponding to the maximum similarity is not necessarily the vehicle feature matching the target vehicle feature due to an error in the process of calculating the similarity. For example, the similarity between the vehicle feature of the vehicle 1 and the target vehicle feature is 98%, and the similarity between the vehicle feature of the vehicle 2 and the target vehicle is 97%. Although the similarity of the vehicle feature of the vehicle 1 to the target vehicle feature is larger than the similarity of the vehicle feature of the vehicle 2 to the target vehicle feature, the vehicle feature of the vehicle 2 is a vehicle feature matching the target vehicle feature.
In this embodiment, when the vehicle feature matching the target vehicle feature is determined, the target similarity greater than the preset similarity is determined from the calculated similarities, and the reference vehicle image corresponding to the determined target similarity is displayed, so that the user can manually determine which reference vehicle image matches the target vehicle to leave the parking lot among the displayed reference vehicle images. And sending a selection instruction to a vehicle recognition device, and determining the vehicle feature corresponding to the reference vehicle image corresponding to the selection instruction in the displayed reference vehicle image as the vehicle feature matched with the target vehicle feature after the vehicle recognition device receives the selection instruction of the user. Therefore, the accuracy of the determined vehicle characteristics matched with the target vehicle characteristics can be improved through the technical scheme of the embodiment.
In order to improve the vehicle identification accuracy and reduce the power consumption of the vehicle identification device in the vehicle identification process while improving the vehicle identification efficiency, on the basis of the embodiment shown in fig. 1 and as shown in fig. 2, before the step of acquiring the target vehicle characteristic of the target vehicle to leave the parking lot, the vehicle identification method provided by the embodiment of the invention may further include the following steps:
s100a, acquiring license plate information of a target vehicle to leave a parking lot;
s100b, judging whether reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information, if so, executing S100 c; otherwise, executing S110;
and S100c, determining the vehicle corresponding to the reference license plate information matched with the license plate information as the target vehicle.
In the embodiment, when a target vehicle to leave a parking lot is identified, the target vehicle can be identified through the characteristic of the license plate information of the target vehicle, and if the target vehicle can be identified through the license plate information of the target vehicle, the target vehicle can be directly identified; if the target vehicle cannot be identified through the license plate information of the target vehicle, the target vehicle can be identified through other vehicle characteristics of the target vehicle.
Specifically, when a target vehicle is identified, a vehicle image which is acquired by an image acquisition device and contains a license plate area of the target vehicle can be acquired, and the vehicle image is subjected to image identification, so that license plate information of the target vehicle can be acquired; and judging whether reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information, if the reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information, indicating that the vehicle identification device also successfully acquires the license plate information of the target vehicle when the target vehicle enters the parking lot, and determining the reference license plate information matched with the license plate information as the target vehicle. If the reference license plate information matched with the license plate information does not exist in the prestored reference license plate information, the vehicle identification device fails to acquire the license plate information of the target vehicle when the target vehicle enters the parking lot, and at the moment, the target vehicle cannot be identified through the license plate information of the target vehicle, and the vehicle characteristics of the target vehicle to be left from the parking lot need to be acquired.
Of course, in practical applications, when a target vehicle to leave the parking lot leaves the parking lot, if the license plate area of the target vehicle is completely or partially blocked, the vehicle identification device cannot acquire the license plate information of the target vehicle, and the vehicle identification device also needs to acquire the target vehicle feature of the target vehicle to leave the parking lot.
In an implementation manner, after the step of obtaining the license plate information of the target vehicle to leave the parking lot, the vehicle identification method provided in the embodiment of the present invention may further include the following steps:
judging whether the confidence coefficient of the license plate information is greater than a preset confidence coefficient or not;
if so, executing the step of judging whether reference license plate information matched with the license plate information exists in each prestored reference license plate information.
In practical applications, when a target vehicle to leave a parking lot leaves the parking lot, the confidence of the license plate information of the target vehicle obtained by the vehicle recognition device is low due to the reasons that the license plate area of the target vehicle is fuzzy and the like, at this time, the target vehicle cannot be recognized through the license plate information of the target vehicle, therefore, in order to reduce the problem that the target vehicle identification fails due to the low confidence of the license plate information of the target vehicle, after the license plate information of the target vehicle leaving the parking lot is obtained, whether the confidence coefficient of the license plate information is larger than the preset confidence coefficient or not can be judged, if the confidence coefficient of the license plate information is greater than the preset confidence coefficient, the step of judging whether reference license plate information matched with the license plate information exists in each piece of pre-stored reference license plate information can be executed, and if not, the step of acquiring the target vehicle characteristics of the target vehicle to leave the parking lot can be executed.
In one embodiment, after the step of determining a vehicle corresponding to the vehicle feature matching the target vehicle feature as the target vehicle, the vehicle identification method provided by the embodiment of the present invention may further include the steps of:
and deleting the pre-stored vehicle characteristics matched with the target vehicle characteristics, the pre-stored reference vehicle images corresponding to the selection instructions and the pre-stored reference license plate information matched with the license plate information.
After the vehicle corresponding to the vehicle feature matched with the target vehicle feature is determined as the target vehicle, the target vehicle leaves the parking lot, and in order to reduce the fact that the vehicle feature, the reference image and the reference license plate information of the target vehicle leaving the parking lot occupy the memory of the vehicle recognition device and cause the running speed of the vehicle recognition device to become slow, the pre-stored vehicle feature matched with the target vehicle feature, the pre-stored reference vehicle image corresponding to the selection instruction, the pre-stored reference license plate information matched with the license plate information and the pre-stored reference license plate information matched with the license plate information can be deleted.
Therefore, the technical scheme provided by the embodiment of the invention realizes vehicle identification based on various characteristics of the vehicle, and does not depend on single license plate information like the prior art, so that the accuracy of vehicle identification can be improved, and the vehicle identification efficiency can be improved on the basis of improving the accuracy of vehicle identification.
In a second aspect, an embodiment of the present invention further provides a vehicle identification apparatus, as shown in fig. 3, the apparatus may include:
a vehicle characteristic obtaining module 310, configured to obtain a target vehicle characteristic of a target vehicle to leave a parking lot, where the target vehicle characteristic includes: determining features based on feature regions of the target vehicle, wherein the feature regions are regions containing multi-class feature information of the target vehicle;
the vehicle feature matching module 320 is configured to match the obtained target vehicle features with vehicle features of vehicles entering the parking lot, which are stored in advance, to obtain vehicle features matched with the target vehicle features;
a target vehicle determination module 330, configured to determine a vehicle corresponding to the vehicle feature matching the target vehicle feature as a target vehicle.
According to the technical scheme provided by the embodiment of the invention, the target vehicle characteristics of the target vehicle to leave the parking lot are obtained, wherein the target vehicle characteristics comprise: determining characteristics based on characteristic areas of the target vehicle, wherein the characteristic areas are areas containing multi-type characteristic information of the target vehicle; matching the obtained target vehicle characteristics with vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, to obtain vehicle characteristics matched with the target vehicle characteristics; and determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle. Therefore, the technical scheme provided by the embodiment of the invention realizes vehicle identification based on various characteristics of the vehicle, and is not like the prior art, and only depends on single license plate information, so that the accuracy of vehicle identification can be improved.
Optionally, the vehicle characteristic obtaining module is specifically configured to:
acquiring a target vehicle image of a target vehicle to leave a parking lot, wherein the target vehicle image is acquired by an image acquisition device and comprises a characteristic region of the target vehicle;
and performing feature recognition on the target vehicle image to obtain the target vehicle feature of the target vehicle.
Optionally, the vehicle feature matching module includes:
a similarity calculation unit configured to calculate a similarity between the obtained target vehicle feature and a vehicle feature of each vehicle entering the parking lot, which is stored in advance;
and the vehicle characteristic determining unit is used for determining the vehicle characteristic matched with the target vehicle characteristic based on the calculated similarity. .
Optionally, the vehicle characteristic determining unit is specifically configured to:
determining the maximum similarity from the calculated similarities;
and determining the vehicle characteristic corresponding to the maximum similarity as the vehicle characteristic matched with the target vehicle characteristic.
Optionally, the vehicle characteristic determining unit is specifically configured to:
determining the target similarity greater than the preset similarity from the calculated similarities;
displaying a reference vehicle image corresponding to the determined target similarity, wherein the reference vehicle image is a vehicle image of a vehicle entering the parking lot, which is acquired by a pre-stored image acquisition device;
and when a selection instruction of a user is received, determining the vehicle feature corresponding to the reference vehicle image corresponding to the selection instruction in the displayed reference vehicle image as the vehicle feature matched with the target vehicle feature.
Optionally, the apparatus may further include:
the license plate information acquisition module is used for acquiring the license plate information of the target vehicle to leave the parking lot before the step of acquiring the target vehicle characteristics of the target vehicle to leave the parking lot;
the license plate information judging module is used for judging whether reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information;
if the vehicle information judgment module judges that reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information, triggering the target vehicle determination module to determine a vehicle corresponding to the reference license plate information matched with the license plate information as a target vehicle;
and if the vehicle information judging module judges that reference license plate information matched with the license plate information does not exist in the prestored reference license plate information, triggering the vehicle characteristic acquiring module to execute the step of acquiring the target vehicle characteristic of the target vehicle to leave the parking lot.
Optionally, the apparatus may further include:
the confidence coefficient judging module is used for judging whether the confidence coefficient of the license plate information is greater than a preset confidence coefficient or not after the step of acquiring the license plate information of the target vehicle leaving the parking lot;
if so, triggering the license plate information judging module to execute the step of judging whether reference license plate information matched with the license plate information exists in the prestored reference license plate information.
Optionally, the apparatus may further include:
and the vehicle information deleting module is used for deleting the pre-stored vehicle characteristics matched with the target vehicle characteristics, the pre-stored reference vehicle images corresponding to the selection instructions and the pre-stored reference license plate information matched with the license plate information after the step of determining the vehicle corresponding to the vehicle characteristics matched with the target vehicle characteristics as the target vehicle.
Optionally, the vehicle features include at least two of the following vehicle features: brand identification information, size information, color information, and license plate information.
In a third aspect, an embodiment of the present invention further provides an electronic device, as shown in fig. 4, including a processor 401, a communication interface 402, a memory 403, and a communication bus 404, where the processor 401, the communication interface 402, and the memory 403 complete mutual communication through the communication bus 404,
a memory 403 for storing a computer program;
the processor 401 is configured to implement the vehicle identification method according to the first aspect when executing the program stored in the memory 403.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
According to the technical scheme provided by the embodiment of the invention, the target vehicle characteristics of the target vehicle to leave the parking lot are obtained, wherein the target vehicle characteristics comprise: determining characteristics based on characteristic areas of the target vehicle, wherein the characteristic areas are areas containing multi-type characteristic information of the target vehicle; matching the obtained target vehicle characteristics with vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, to obtain vehicle characteristics matched with the target vehicle characteristics; and determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle. Therefore, the technical scheme provided by the embodiment of the invention realizes vehicle identification based on various characteristics of the vehicle, and is not like the prior art, and only depends on single license plate information, so that the accuracy of vehicle identification can be improved.
In a fourth aspect, the embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the vehicle identification method according to the first aspect.
According to the technical scheme provided by the embodiment of the invention, the target vehicle characteristics of the target vehicle to leave the parking lot are obtained, wherein the target vehicle characteristics comprise: determining characteristics based on characteristic areas of the target vehicle, wherein the characteristic areas are areas containing multi-type characteristic information of the target vehicle; matching the obtained target vehicle characteristics with vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, to obtain vehicle characteristics matched with the target vehicle characteristics; and determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle. Therefore, the technical scheme provided by the embodiment of the invention realizes vehicle identification based on various characteristics of the vehicle, and is not like the prior art, and only depends on single license plate information, so that the accuracy of vehicle identification can be improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the device, the electronic apparatus, and the storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiments.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (20)
1. A vehicle identification method, characterized in that the method comprises:
obtaining target vehicle characteristics of a target vehicle to leave a parking lot, wherein the target vehicle characteristics comprise: determining features based on feature regions of the target vehicle, wherein the feature regions are regions containing multi-class feature information of the target vehicle;
matching the obtained target vehicle characteristics with vehicle characteristics of each vehicle entering the parking lot, which are stored in advance, so as to obtain vehicle characteristics matched with the target vehicle characteristics;
and determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle.
2. The method of claim 1, wherein the step of obtaining the target vehicle characteristic of the target vehicle to exit the parking lot comprises:
acquiring a target vehicle image of a target vehicle to leave a parking lot, wherein the target vehicle image is acquired by an image acquisition device and comprises a characteristic region of the target vehicle;
and performing feature recognition on the target vehicle image to obtain the target vehicle feature of the target vehicle.
3. The method according to claim 1, wherein the step of matching the obtained target vehicle feature with the vehicle feature of each vehicle entering the parking lot to obtain a vehicle feature matching the target vehicle feature comprises:
calculating the similarity between the obtained target vehicle characteristics and the vehicle characteristics of each vehicle entering the parking lot, which are stored in advance;
and determining the vehicle characteristics matched with the target vehicle characteristics based on the calculated similarity.
4. The method according to claim 3, wherein the step of determining the vehicle feature matching the target vehicle feature based on the calculated respective similarities comprises:
determining the maximum similarity from the calculated similarities;
and determining the vehicle characteristic corresponding to the maximum similarity as the vehicle characteristic matched with the target vehicle characteristic.
5. The method according to claim 3, wherein the step of determining the vehicle feature matching the target vehicle feature based on the calculated respective similarities comprises:
determining the target similarity greater than the preset similarity from the calculated similarities;
displaying a reference vehicle image corresponding to the determined target similarity, wherein the reference vehicle image is a vehicle image of a vehicle entering the parking lot, which is acquired by a pre-stored image acquisition device;
and when a selection instruction of a user is received, determining the vehicle feature corresponding to the reference vehicle image corresponding to the selection instruction in the displayed reference vehicle image as the vehicle feature matched with the target vehicle feature.
6. The method of claim 5, wherein prior to the step of obtaining the target vehicle characteristic of the target vehicle to exit the parking lot, the method further comprises:
acquiring license plate information of a target vehicle to be left from a parking lot;
judging whether reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information;
if so, determining the vehicle corresponding to the reference license plate information matched with the license plate information as a target vehicle;
and if not, executing the step of acquiring the target vehicle characteristics of the target vehicle to leave the parking lot.
7. The method of claim 6, wherein after the step of obtaining license plate information of the target vehicle to leave the parking lot, the method further comprises:
judging whether the confidence coefficient of the license plate information is greater than a preset confidence coefficient;
if so, executing the step of judging whether reference license plate information matched with the license plate information exists in each prestored reference license plate information.
8. The method of claim 6, wherein after the step of determining a vehicle corresponding to the vehicle feature matching the target vehicle feature as a target vehicle, the method further comprises:
and deleting pre-stored vehicle characteristics matched with the target vehicle characteristics, pre-stored reference vehicle images corresponding to the selection instructions and pre-stored reference license plate information matched with the license plate information.
9. The method according to any one of claims 1-8, wherein the vehicle characteristics include at least two of the following vehicle characteristics: brand identification information, size information, color information, and license plate information.
10. A vehicle identification device, characterized in that the device comprises:
a vehicle characteristic obtaining module, configured to obtain a target vehicle characteristic of a target vehicle to leave a parking lot, where the target vehicle characteristic includes: determining features based on feature regions of the target vehicle, wherein the feature regions are regions containing multi-class feature information of the target vehicle;
the vehicle characteristic matching module is used for matching the obtained target vehicle characteristics with vehicle characteristics of all vehicles entering the parking lot, which are stored in advance, so as to obtain vehicle characteristics matched with the target vehicle characteristics;
and the target vehicle determining module is used for determining the vehicle corresponding to the vehicle characteristic matched with the target vehicle characteristic as the target vehicle.
11. The apparatus of claim 10, wherein the vehicle characteristic acquisition module is specifically configured to:
acquiring a target vehicle image of a target vehicle to leave a parking lot, wherein the target vehicle image is acquired by an image acquisition device and comprises a characteristic region of the target vehicle;
and performing feature recognition on the target vehicle image to obtain the target vehicle feature of the target vehicle.
12. The apparatus of claim 10, wherein the vehicle characteristic matching module comprises:
a similarity calculation unit configured to calculate a similarity between the obtained target vehicle feature and a vehicle feature of each vehicle entering the parking lot, which is stored in advance;
and the vehicle characteristic determining unit is used for determining the vehicle characteristic matched with the target vehicle characteristic based on the calculated similarity.
13. The apparatus according to claim 12, wherein the vehicle characteristic determination unit is specifically configured to:
determining the maximum similarity from the calculated similarities;
and determining the vehicle characteristic corresponding to the maximum similarity as the vehicle characteristic matched with the target vehicle characteristic.
14. The apparatus according to claim 12, wherein the vehicle characteristic determination unit is specifically configured to:
determining the target similarity greater than the preset similarity from the calculated similarities;
displaying a reference vehicle image corresponding to the determined target similarity, wherein the reference vehicle image is a vehicle image of a vehicle entering the parking lot, which is acquired by a pre-stored image acquisition device;
and when a selection instruction of a user is received, determining the vehicle feature corresponding to the reference vehicle image corresponding to the selection instruction in the displayed reference vehicle image as the vehicle feature matched with the target vehicle feature.
15. The apparatus of claim 10, further comprising:
the license plate information acquisition module is used for acquiring the license plate information of the target vehicle to leave the parking lot before the step of acquiring the target vehicle characteristics of the target vehicle to leave the parking lot;
the license plate information judging module is used for judging whether reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information;
if the vehicle information judgment module judges that reference license plate information matched with the license plate information exists in each piece of prestored reference license plate information, triggering the target vehicle determination module to determine a vehicle corresponding to the reference license plate information matched with the license plate information as a target vehicle;
and if the vehicle information judging module judges that reference license plate information matched with the license plate information does not exist in the prestored reference license plate information, triggering the vehicle characteristic acquiring module to execute the step of acquiring the target vehicle characteristic of the target vehicle to leave the parking lot.
16. The apparatus of claim 15, further comprising:
the confidence coefficient judging module is used for judging whether the confidence coefficient of the license plate information is greater than a preset confidence coefficient or not after the step of acquiring the license plate information of the target vehicle leaving the parking lot;
if so, triggering the license plate information judging module to execute the step of judging whether reference license plate information matched with the license plate information exists in the prestored reference license plate information.
17. The apparatus of claim 15, further comprising:
and the vehicle information deleting module is used for deleting the pre-stored vehicle characteristics matched with the target vehicle characteristics, the pre-stored reference vehicle images corresponding to the selection instructions and the pre-stored reference license plate information matched with the license plate information after the step of determining the vehicle corresponding to the vehicle characteristics matched with the target vehicle characteristics as the target vehicle.
18. The apparatus of any of claims 10-17, wherein the vehicle features include at least two of the following vehicle features: brand identification information, size information, color information, and license plate information.
19. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any of claims 1-9 when executing a program stored in the memory.
20. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of the claims 1-9.
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