CN113851018A - Real-time license plate parking distance judgment platform and method - Google Patents

Real-time license plate parking distance judgment platform and method Download PDF

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Publication number
CN113851018A
CN113851018A CN202111065150.7A CN202111065150A CN113851018A CN 113851018 A CN113851018 A CN 113851018A CN 202111065150 A CN202111065150 A CN 202111065150A CN 113851018 A CN113851018 A CN 113851018A
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vehicle body
depth
license plate
picture
platform
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CN202111065150.7A
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不公告发明人
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Taizhou Leixinnong Electromechanical Manufacturing Co Ltd
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Taizhou Leixinnong Electromechanical Manufacturing Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/164Centralised systems, e.g. external to vehicles

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  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention relates to a license plate parking distance real-time judgment platform and a method, wherein the platform comprises: the driving recording component is used for acquiring and recording image data of the environment in front of the vehicle in the driving process of the vehicle so as to obtain each instant recording picture corresponding to each moment; the first-level execution component is used for executing the statistical sorting filtering operation on the received instant recording picture corresponding to the current moment so as to obtain a corresponding first-level execution picture; and the secondary execution component is used for executing the edge enhancement operation on the received primary execution picture. The license plate parking distance real-time judgment platform and the license plate parking distance real-time judgment method are effective in monitoring and wide in application. The field depth difference of the red warning board body in front of the running vehicle and the static vehicle closest to the red warning board body can be identified on site, and whether the red warning board body is qualified for parking is judged based on the identification result, so that the red warning board body is deterred from illegal parking.

Description

Real-time license plate parking distance judgment platform and method
Technical Field
The invention relates to the field of video search, in particular to a license plate parking distance real-time judgment platform and a license plate parking distance real-time judgment method.
Background
The video search has two meanings, a huge video library established by collecting numerous online video playing resources of the internet is commonly used for searching videos required by the user, the other meaning of the video search is to search a moving target with a certain characteristic in the videos, for example, to search a 'person wearing red jacket black trousers' in the videos, which is an emerging technology in the field of video intelligent analysis, but people are more accustomed to adopting the term of 'video search', and please refer to the term of 'video search'. In the prior art, once a traffic accident occurs on a highway, a red warning board needs to be placed beyond a set distance behind an accident vehicle to prevent a rear vehicle from colliding with the accident vehicle and people, if the red warning board is not placed far enough, due to the fact that the vehicle runs at an excessively high speed, a due warning effect cannot be achieved, and however, how to detect and judge whether the placement distance of the red warning board is qualified is one of the current problems.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a real-time judging platform for the parking distance of a license plate, which can be used for installing a video acquisition system and a video analysis system on a running vehicle on an expressway, carrying out field identification on a depth of field difference value of a red warning plate body in front of the running vehicle and a static vehicle closest to the red warning plate body, and judging whether the red warning plate body is qualified for parking based on an identification result, thereby maintaining the safe running environment of the expressway.
Compared with the prior art, the invention at least needs to have the following three prominent substantive characteristics:
(1) when the vehicle runs on a highway, identifying a front scene to obtain a depth of field difference value between a front red warning board body and a static vehicle which is closest to the front red warning board body in each static vehicle, and when the depth of field difference value is too small, judging that the red warning board body is too close to an accident vehicle and reporting illegal vehicle information;
(2) identifying an imaging area of the red warning plate body based on the color imaging characteristic and the geometric shape imaging characteristic of the red warning plate body;
(3) and judging whether the vehicle body belongs to a static vehicle or a dynamic vehicle based on the change condition of the depth of field data of the same vehicle spanning the collected images.
According to an aspect of the present invention, there is provided a license plate parking distance real-time determination platform, comprising:
and the driving recording component is arranged in the vehicle and used for acquiring and recording image data of the environment in front of the vehicle in the driving process of the vehicle so as to obtain each instant recording picture corresponding to each moment.
More specifically, in the real-time license plate parking distance judgment platform, the platform further includes:
and the primary execution component is connected with the driving recording component and used for executing statistical sorting filtering operation on the received instant recording picture corresponding to the current moment so as to obtain a corresponding primary execution picture.
More specifically, in the real-time license plate parking distance judgment platform, the platform further includes:
and the secondary execution unit is connected with the primary execution unit and used for executing the edge enhancement operation on the received primary execution picture to obtain a corresponding secondary execution picture.
More specifically, in the real-time license plate parking distance judgment platform, the platform further includes:
and the three-level execution component is connected with the two-level execution component and is used for executing image enhancement operation by using logarithmic transformation on the received two-level execution picture to obtain a corresponding three-level execution picture.
More specifically, in the real-time license plate parking distance judgment platform, the platform further includes:
the information analysis mechanism is connected with the three-level execution component and is used for acquiring a red brightness value, a green brightness value and a blue brightness value of each pixel point in the three-level execution picture in an RGB color space;
the red identification mechanism is connected with the information analysis mechanism and is used for taking pixel points of red brightness values in the three-level execution picture in a red brightness value range corresponding to the red caution card body as card body pixel points;
the card body judging mechanism is connected with the red identifying mechanism and used for fitting each card body pixel point in the three-level execution picture to obtain a plurality of regions to be judged, and outputting the regions to be judged with edge shapes consistent with the triangular shapes corresponding to the red warning card bodies in the plurality of regions to be judged as card body confirmation regions;
the vehicle body identification mechanism is connected with the three-level execution component and is used for identifying each vehicle body confirmation area corresponding to each vehicle body object in the three-level execution picture based on a standard vehicle body outline;
the field depth extracting mechanism is respectively connected with the card body judging mechanism and the vehicle body identifying mechanism and is used for acquiring the field depth value of the card body confirmation area in the three-level execution picture as the card body field depth and acquiring the field depth value of each vehicle body confirmation area in the three-level execution picture as each vehicle body field depth;
the dynamic analysis mechanism is connected with the three-level execution part and is used for acquiring each vehicle body depth of field in each three-level execution picture corresponding to each instant recording picture respectively, and taking the vehicle body object with the changed depth of field as a dynamic vehicle body object when the vehicle body depth of field corresponding to each vehicle body object crossing each three-level execution picture on a time axis is changed;
the object selection mechanism is respectively connected with the dynamic analysis mechanism and the depth of field extraction mechanism and is used for removing dynamic vehicle body objects in each vehicle body object in the three-level execution picture related to the instant recording picture corresponding to the current moment so as to obtain a plurality of vehicle body depths of field corresponding to a plurality of residual static vehicle body objects;
the state identification component is respectively connected with the field depth extraction mechanism and the object selection mechanism and is used for outputting a vehicle body object corresponding to the vehicle body depth which is deeper than the card body depth and has the smallest absolute value of the difference value of the card body depth in the plurality of vehicle body depths as an accident vehicle body object;
the signal distribution part is connected with the state identification part and is used for outputting the absolute value of the depth difference between the vehicle body depth corresponding to the accident vehicle body object and the card body depth as a reference depth absolute value;
the signal distribution part is also used for sending a signal that the card body is arranged too close when the absolute value of the reference depth of field is less than or equal to the set absolute value threshold.
According to another aspect of the invention, a license plate parking distance real-time judging method is further provided, and the method comprises the step of using the license plate parking distance real-time judging platform to judge whether a red warning plate is placed too close or not based on visual information of the red warning plate and the nearest static vehicle in an image collected by a high-speed lane driving recorder.
The license plate parking distance real-time judgment platform and the license plate parking distance real-time judgment method are effective in monitoring and wide in application. The field depth difference of the red warning board body in front of the running vehicle and the static vehicle closest to the red warning board body can be identified on site, and whether the red warning board body is qualified for parking is judged based on the identification result, so that the red warning board body is deterred from illegal parking.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of an appearance structure of a red warning board applied to a real-time license plate parking distance determination platform according to an embodiment of the present invention.
Detailed Description
The following will describe in detail embodiments of the license plate parking distance real-time determination platform and method of the present invention.
"Traffic Accident" refers to an event in which a vehicle causes personal injury or loss of property due to a mistake or Accident on a road. Traffic accidents are not only caused by unspecified persons violating road traffic safety regulations; or due to irresistible natural disasters such as earthquake, typhoon, mountain torrents, lightning stroke and the like. The subjective cause of traffic accidents refers to the inherent cause of the parties causing road traffic accidents, i.e. subjective intention or mistake, and mainly comprises: violations of regulations, negligence, operational techniques, etc. The objective cause of the traffic accident refers to the traffic accident caused by adverse factors of vehicles, roads and environmental conditions (including climate, hydrology, environment and the like). In the prior art, once a traffic accident occurs on a highway, a red warning board needs to be placed beyond a set distance behind an accident vehicle to prevent a rear vehicle from colliding with the accident vehicle and people, if the red warning board is not placed far enough, due to the fact that the vehicle runs at an excessively high speed, a due warning effect cannot be achieved, and however, how to detect and judge whether the placement distance of the red warning board is qualified is one of the current problems.
In order to overcome the defects, the invention builds the platform and the method for judging the parking distance of the license plate in real time, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic diagram of an appearance structure of a red warning board applied to a real-time license plate parking distance determination platform according to an embodiment of the present invention.
The license plate parking distance real-time judgment platform shown according to the embodiment of the invention comprises:
and the driving recording component is arranged in the vehicle and used for acquiring and recording image data of the environment in front of the vehicle in the driving process of the vehicle so as to obtain each instant recording picture corresponding to each moment.
Next, the specific structure of the license plate parking distance real-time determination platform of the present invention will be further described.
The real-time license plate parking distance judging platform can further comprise:
and the primary execution component is connected with the driving recording component and used for executing statistical sorting filtering operation on the received instant recording picture corresponding to the current moment so as to obtain a corresponding primary execution picture.
The real-time license plate parking distance judging platform can further comprise:
and the secondary execution unit is connected with the primary execution unit and used for executing the edge enhancement operation on the received primary execution picture to obtain a corresponding secondary execution picture.
The real-time license plate parking distance judging platform can further comprise:
and the three-level execution component is connected with the two-level execution component and is used for executing image enhancement operation by using logarithmic transformation on the received two-level execution picture to obtain a corresponding three-level execution picture.
The real-time license plate parking distance judging platform can further comprise:
the information analysis mechanism is connected with the three-level execution component and is used for acquiring a red brightness value, a green brightness value and a blue brightness value of each pixel point in the three-level execution picture in an RGB color space;
the red identification mechanism is connected with the information analysis mechanism and is used for taking pixel points of red brightness values in the three-level execution picture in a red brightness value range corresponding to the red caution card body as card body pixel points;
the card body judging mechanism is connected with the red identifying mechanism and used for fitting each card body pixel point in the three-level execution picture to obtain a plurality of regions to be judged, and outputting the regions to be judged with edge shapes consistent with the triangular shapes corresponding to the red warning card bodies in the plurality of regions to be judged as card body confirmation regions;
the vehicle body identification mechanism is connected with the three-level execution component and is used for identifying each vehicle body confirmation area corresponding to each vehicle body object in the three-level execution picture based on a standard vehicle body outline;
the field depth extracting mechanism is respectively connected with the card body judging mechanism and the vehicle body identifying mechanism and is used for acquiring the field depth value of the card body confirmation area in the three-level execution picture as the card body field depth and acquiring the field depth value of each vehicle body confirmation area in the three-level execution picture as each vehicle body field depth;
the dynamic analysis mechanism is connected with the three-level execution part and is used for acquiring each vehicle body depth of field in each three-level execution picture corresponding to each instant recording picture respectively, and taking the vehicle body object with the changed depth of field as a dynamic vehicle body object when the vehicle body depth of field corresponding to each vehicle body object crossing each three-level execution picture on a time axis is changed;
the object selection mechanism is respectively connected with the dynamic analysis mechanism and the depth of field extraction mechanism and is used for removing dynamic vehicle body objects in each vehicle body object in the three-level execution picture related to the instant recording picture corresponding to the current moment so as to obtain a plurality of vehicle body depths of field corresponding to a plurality of residual static vehicle body objects;
the state identification component is respectively connected with the field depth extraction mechanism and the object selection mechanism and is used for outputting a vehicle body object corresponding to the vehicle body depth which is deeper than the card body depth and has the smallest absolute value of the difference value of the card body depth in the plurality of vehicle body depths as an accident vehicle body object;
the signal distribution part is connected with the state identification part and is used for outputting the absolute value of the depth difference between the vehicle body depth corresponding to the accident vehicle body object and the card body depth as a reference depth absolute value;
the signal distribution part is also used for sending a signal that the card body is arranged too close when the absolute value of the reference depth of field is less than or equal to the set absolute value threshold.
In the license plate parking distance real-time judgment platform:
the signal distribution part is also used for carrying out character recognition on the vehicle body confirmation area where the accident vehicle body object is located when the license plate body is arranged with the over-close signal so as to obtain a corresponding illegal license plate number and output the illegal license plate number.
In the license plate parking distance real-time judgment platform:
the signal distribution part is also used for sending out a card body placement safety signal when the absolute value of the reference depth of field is larger than the set absolute value threshold.
The real-time license plate parking distance judging platform can further comprise:
and the mobile communication interface is connected with the signal distribution component and is used for wirelessly transmitting various information output by the signal distribution component to a remote traffic management platform through a mobile communication link.
Meanwhile, in order to overcome the defects, the invention also provides a license plate parking distance real-time judgment method, which comprises the step of using the license plate parking distance real-time judgment platform to judge whether the red warning plate is placed too close or not based on the visual information of the red warning plate in the image acquired by the expressway uplink recorder and the visual information of the nearest static vehicle.
In addition, in the license plate parking distance real-time judgment platform, the red identification mechanism is also used for taking pixel points of which the red brightness values in the three-level execution picture are outside a red brightness value interval corresponding to the red warning license plate body as other pixel points;
and in the real-time license plate parking distance judging platform, a red brightness value interval corresponding to the red warning license plate body is limited by a set upper limit red brightness value and a set lower limit red brightness value, and the set upper limit red brightness value is greater than the set lower limit red brightness value.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the scope or spirit of the invention. It is to be understood, therefore, that the above-described embodiments are illustrative only and not limiting. Since the scope of the present invention is defined by the claims, rather than the foregoing description, any changes and modifications that fall within the metes and bounds of the claims, or equivalence of such metes and bounds are therefore intended to be embraced by the claims.

Claims (9)

1. The utility model provides a platform is judged in real time to license plate parking distance which characterized in that, the platform includes:
and the driving recording component is arranged in the vehicle and used for acquiring and recording image data of the environment in front of the vehicle in the driving process of the vehicle so as to obtain each instant recording picture corresponding to each moment.
2. The real-time license plate parking distance judging platform of claim 1, further comprising:
and the primary execution component is connected with the driving recording component and used for executing statistical sorting filtering operation on the received instant recording picture corresponding to the current moment so as to obtain a corresponding primary execution picture.
3. The real-time license plate parking distance judging platform of claim 2, further comprising:
and the secondary execution unit is connected with the primary execution unit and used for executing the edge enhancement operation on the received primary execution picture to obtain a corresponding secondary execution picture.
4. The real-time license plate parking distance judging platform of claim 3, further comprising:
and the three-level execution component is connected with the two-level execution component and is used for executing image enhancement operation by using logarithmic transformation on the received two-level execution picture to obtain a corresponding three-level execution picture.
5. The real-time license plate parking distance judging platform of claim 4, further comprising:
the information analysis mechanism is connected with the three-level execution component and is used for acquiring a red brightness value, a green brightness value and a blue brightness value of each pixel point in the three-level execution picture in an RGB color space;
the red identification mechanism is connected with the information analysis mechanism and is used for taking pixel points of red brightness values in the three-level execution picture in a red brightness value range corresponding to the red caution card body as card body pixel points;
the card body judging mechanism is connected with the red identifying mechanism and used for fitting each card body pixel point in the three-level execution picture to obtain a plurality of regions to be judged, and outputting the regions to be judged with edge shapes consistent with the triangular shapes corresponding to the red warning card bodies in the plurality of regions to be judged as card body confirmation regions;
the vehicle body identification mechanism is connected with the three-level execution component and is used for identifying each vehicle body confirmation area corresponding to each vehicle body object in the three-level execution picture based on a standard vehicle body outline;
the field depth extracting mechanism is respectively connected with the card body judging mechanism and the vehicle body identifying mechanism and is used for acquiring the field depth value of the card body confirmation area in the three-level execution picture as the card body field depth and acquiring the field depth value of each vehicle body confirmation area in the three-level execution picture as each vehicle body field depth;
the dynamic analysis mechanism is connected with the three-level execution part and is used for acquiring each vehicle body depth of field in each three-level execution picture corresponding to each instant recording picture respectively, and taking the vehicle body object with the changed depth of field as a dynamic vehicle body object when the vehicle body depth of field corresponding to each vehicle body object crossing each three-level execution picture on a time axis is changed;
the object selection mechanism is respectively connected with the dynamic analysis mechanism and the depth of field extraction mechanism and is used for removing dynamic vehicle body objects in each vehicle body object in the three-level execution picture related to the instant recording picture corresponding to the current moment so as to obtain a plurality of vehicle body depths of field corresponding to a plurality of residual static vehicle body objects;
the state identification component is respectively connected with the field depth extraction mechanism and the object selection mechanism and is used for outputting a vehicle body object corresponding to the vehicle body depth which is deeper than the card body depth and has the smallest absolute value of the difference value of the card body depth in the plurality of vehicle body depths as an accident vehicle body object;
the signal distribution part is connected with the state identification part and is used for outputting the absolute value of the depth difference between the vehicle body depth corresponding to the accident vehicle body object and the card body depth as a reference depth absolute value;
the signal distribution part is also used for sending a signal that the card body is arranged too close when the absolute value of the reference depth of field is less than or equal to the set absolute value threshold.
6. The real-time license plate parking distance judgment platform of claim 5, wherein:
the signal distribution part is also used for carrying out character recognition on the vehicle body confirmation area where the accident vehicle body object is located when the license plate body is arranged with the over-close signal so as to obtain a corresponding illegal license plate number and output the illegal license plate number.
7. The real-time license plate parking distance judgment platform of claim 6, wherein:
the signal distribution part is also used for sending out a card body placement safety signal when the absolute value of the reference depth of field is larger than the set absolute value threshold.
8. The real-time license plate parking distance judging platform of claim 7, further comprising:
and the mobile communication interface is connected with the signal distribution component and is used for wirelessly transmitting various information output by the signal distribution component to a remote traffic management platform through a mobile communication link.
9. A method for judging parking distance in real time, the method comprising using the real-time judging platform for judging whether a red warning board is placed too close based on visual information of the red warning board and a nearest static vehicle in an image collected by a high-speed lane traveling recorder according to any one of claims 5 to 8.
CN202111065150.7A 2021-09-11 2021-09-11 Real-time license plate parking distance judgment platform and method Withdrawn CN113851018A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111065150.7A CN113851018A (en) 2021-09-11 2021-09-11 Real-time license plate parking distance judgment platform and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111065150.7A CN113851018A (en) 2021-09-11 2021-09-11 Real-time license plate parking distance judgment platform and method

Publications (1)

Publication Number Publication Date
CN113851018A true CN113851018A (en) 2021-12-28

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Application Number Title Priority Date Filing Date
CN202111065150.7A Withdrawn CN113851018A (en) 2021-09-11 2021-09-11 Real-time license plate parking distance judgment platform and method

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CN (1) CN113851018A (en)

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Application publication date: 20211228