CN113112814B - Snapshot method and device without stopping right turn and computer storage medium - Google Patents
Snapshot method and device without stopping right turn and computer storage medium Download PDFInfo
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- CN113112814B CN113112814B CN202110214963.1A CN202110214963A CN113112814B CN 113112814 B CN113112814 B CN 113112814B CN 202110214963 A CN202110214963 A CN 202110214963A CN 113112814 B CN113112814 B CN 113112814B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The application discloses a snapshot method, a snapshot device and a computer storage medium that do not stop when turning right, and the snapshot method comprises the following steps: detecting a target vehicle in a monitoring video of monitoring equipment; when the target vehicle is detected to pass through a preset road section, acquiring the time of the target vehicle passing through the preset road section, wherein the finish line of the preset road section corresponds to a stop line at a road junction; if the time that the target vehicle passes through the preset road section is not greater than the preset time threshold, judging whether a signal lamp corresponding to the target vehicle allows right turning; and if the signal lamp allows the right turn, capturing the target vehicle to obtain a first image when the target vehicle finishes the right turn, and reporting the first image. The snapshot method provided by the application can reduce the incidence of accidents.
Description
Technical Field
The application relates to the technical field of traffic monitoring, in particular to a snapshot method and a snapshot device for no-parking right turn and a computer storage medium.
Background
When a single right-turn arrow indicator lamp is not arranged at the traffic intersection, the vehicles can turn right directly without being controlled by the signal lamp, but as the trucks have larger volume and relatively higher height, the blind area of the right side in right-turn is very large, and even when the trucks turn right, drivers can not basically see the right side of the vehicles, so that the vehicles or non-vehicles running on the right side of the trucks are often rolled under wheels due to the difference of inner wheels.
For the above reasons, it becomes necessary for the truck to be parked while turning right to observe the situation behind the right of the vehicle.
Disclosure of Invention
The technical problem mainly solved by the application is to provide a snapshot method, snapshot equipment and computer storage medium for right-turn non-stop, and the occurrence rate of accidents can be reduced.
In order to solve the technical problem, the application adopts a technical scheme that: the method for taking a snapshot without stopping the vehicle for the right turn comprises the following steps: detecting a target vehicle in a monitoring video of monitoring equipment; when the target vehicle is detected to pass through a preset road section, acquiring the time of the target vehicle passing through the preset road section, wherein a stop line at a road junction corresponds to an end line of the preset road section; if the time that the target vehicle passes through the preset road section is not greater than a preset time threshold, judging whether a signal lamp corresponding to the target vehicle allows right turning; and if the signal lamp allows the right turn, capturing the target vehicle to obtain a first image when the target vehicle finishes the right turn, and reporting the first image.
In order to solve the above technical problem, another technical solution adopted by the present application is: the snapshot device comprises a processor, a memory and a communication circuit, wherein the processor is respectively coupled with the memory and the communication circuit, the memory is stored with program data, and the processor executes the program data in the memory to realize the steps of the method.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a computer storage medium having stored thereon a computer program executable by a processor to perform the steps of the above method.
The beneficial effect of this application is: according to the snapshot method without stopping during right turning, when the time that the target vehicle passes through the preset road section is not larger than the preset time threshold value, the target vehicle is judged not to stop, then whether the signal lamp corresponding to the target vehicle allows right turning or not is judged, if the signal lamp allows right turning is judged, the target vehicle is possibly subjected to right turning, and after the target vehicle is confirmed to finish right turning, the target vehicle is snapshot and reported, so that the target vehicle can be supervised to stop during right turning, and the accident occurrence rate is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. Wherein:
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a right-turn non-stop snapshot method of the present application;
FIG. 2 is a simplified schematic diagram of an intersection in surveillance video;
FIG. 3 is a schematic flow chart of another embodiment of the present non-stop snapshot method for right turn;
FIG. 4 is a schematic structural diagram of an embodiment of the snapshot apparatus of the present application;
FIG. 5 is a schematic structural diagram of another embodiment of the snapshot apparatus of the present application;
FIG. 6 is a schematic structural diagram of an embodiment of a computer storage medium according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all 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 application.
It should be noted that the snapshot method without stopping the vehicle at the right turn of the present application is executed by a snapshot device, and specifically may be executed by a device (e.g., a mobile phone, a computer, etc.) having an information processing capability in the snapshot device.
Meanwhile, the capturing device in the application can capture the scene that the target vehicle does not stop when the target vehicle turns right, and can also capture other application scenes (such as red light running phenomena) violating traffic rules, but in order to mainly explain how to capture the scene that the target vehicle does not stop when the target vehicle turns right, the capturing device is used for capturing the scene that the target vehicle does not stop when the target vehicle turns right to explain below.
Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of the present invention of a method for capturing without stopping a vehicle when turning right, the method including:
s110: and detecting the target vehicle in the monitoring video of the monitoring equipment.
Specifically, the monitoring device is installed on a road and shoots the motion condition of a vehicle to form a monitoring video. The target vehicle is a vehicle of a predetermined type, and generally speaking, the target vehicle is a vehicle which has a large volume and is easy to have a blind area if the vehicle is turned right without stopping, for example, the target vehicle is a truck.
In an application scenario, step S110 specifically includes: acquiring a monitoring video acquired by monitoring equipment in real time; and carrying out target identification on the video frames in the monitoring video in real time so as to detect the target vehicle.
Specifically, the monitoring device sends the collected monitoring video to the capturing device in real time, and then the capturing device performs target identification on the video frames in the monitoring video in real time according to a preset rule, where the preset rule may be that each frame of video frames in the monitoring video is subjected to target identification, that is, frame-by-frame identification, or that the video frames in the monitoring video are subjected to target identification at certain frame numbers, for example, target identification is performed every 3 frames.
When the video frames are identified, the real-time positions of the target vehicles in the video frames are identified, and therefore the real-time motion tracks of the target vehicles are formed according to the real-time positions of the target vehicles in the video frames.
In order to improve the processing efficiency of the whole method, a convolutional neural network can be trained in advance to perform target identification on the video frame, wherein the convolutional neural network can identify a target vehicle and the position of the target vehicle in the received video frame, or the convolutional neural network can identify the types and the corresponding positions of all vehicles in the received video frame.
In a word, the real-time motion track of the target vehicle is formed by carrying out target identification on video frames in the monitoring video.
In order to further improve the processing efficiency of the whole method, when the target vehicle is identified, and the real-time position of the tracking target vehicle in a subsequent video frame in the monitoring video is calculated.
Specifically, when a target vehicle is identified for the first time in a surveillance video, a unique ID (identification) is set for the target vehicle, then the real-time position of the target vehicle in the next video frame is searched according to the ID, and the motion trajectory of the target vehicle is formed.
In order to further improve the processing speed of the whole method, when the video frame is identified, if the license plate frame of the target vehicle is identified (the license plate frame only frames the license plate of the target vehicle), the position of the license plate frame is obtained, and the position of the license plate frame is used as the real-time position of the target vehicle.
Specifically, since the vehicle frame for framing the target vehicle is large because the target vehicle is large in size, it takes a long time and the processing difficulty is large when the position of the vehicle frame is acquired as the position of the target vehicle, and therefore, in order to reduce the processing time, the present embodiment takes the position of the license plate frame as the real-time position of the target vehicle.
It can be understood that, when the video frame is identified, if the license plate frame cannot be identified (for example, the target vehicle does not have a license plate installed), the real-time position of the vehicle frame is obtained, and the real-time position is taken as the position of the target vehicle.
The above step S110 is described in detail, and the steps subsequent to step S110 are described below with reference to fig. 1 again.
S120: when it is detected that the target vehicle passes through the preset road section, the time of the target vehicle passing through the preset road section is obtained, wherein the stop line at the intersection corresponds to the finish line of the preset road section.
Specifically, when it is detected that the target vehicle crosses the preset road segment, it indicates that the target vehicle is about to cross the current intersection. And meanwhile, the time of the target vehicle passing through the preset road section is the time taken by the target vehicle to pass through the preset road section.
Referring to fig. 2, a plurality of virtual lines, which are a front line 101, a middle line 102, a rear line 103, a stop line 104, and a right-turn line 105, are usually set in the surveillance video. Wherein the stop line 104 corresponds to a stop line at an intersection on the road, i.e. the position of the stop line 104 in the surveillance video coincides with the position of the stop line at the intersection in the surveillance video. The front line 101, the middle line 102, the rear line 103 and the stop line 104 are arranged in parallel, the right turn line 105 is arranged perpendicular to the stop line 104, and the right turn line 105 is located on the right side of the stop line 104. It should be noted that although fig. 2 schematically illustrates the middle line 102 as being located below the stop line 104, the middle line 102 may be located above the stop line 104, that is, if the target vehicle travels straight, it passes through the front line 101, the middle line 102, the stop line 104, and the rear line 103 in this order, or passes through the front line 101, the stop line 104, the middle line 102, and the rear line 103 in this order.
The start line of the preset road section is a front line 101, and the finish line is a stop line 104.
Wherein, step S120 specifically includes: when detecting that the target vehicle reaches a starting point line of a preset road section, acquiring a current first moment; when the target vehicle is detected to reach the finish line of the preset road section, acquiring a current second moment; and calculating the time difference value between the second moment and the first moment, and taking the time difference value as the time for the target vehicle to pass through the preset road section.
That is, time points of a start point line and an end point line of the target vehicle reaching the preset road section are recorded, and then a difference between the two time points is calculated, wherein the difference is the time of the target vehicle passing through the preset road section.
Alternatively, step S120 may also be: starting timing when detecting that the target vehicle reaches a starting point line of a preset road section; and when the target vehicle reaches the finishing line of the preset road section, stopping timing, and taking the accumulated time obtained by timing as the time for the target vehicle to pass through the preset road section.
That is, at this time, the time point when the target vehicle reaches the start point line and the end point line of the preset link is not recorded, but the time when the target vehicle passes through the preset link is directly obtained by means of timing by a timer.
S130: and judging whether the time of the target vehicle passing through the preset road section is not greater than a preset time threshold value.
If the determination result is yes, the process proceeds to step S140, and if the determination result is no, the process proceeds to step S160.
Specifically, if the time that the target vehicle passes through the preset road section is not greater than the preset time threshold, it indicates that the target vehicle is not parked, and step S140 is entered, and if the time that the target vehicle passes through the preset road section is greater than the preset time threshold, it indicates that the target vehicle is parked, and step S160 is entered.
S140: and judging whether the signal lamp corresponding to the target vehicle allows right turn or not.
If it is determined that the right turn is permitted, the process proceeds to step S150, and if it is determined that the right turn is not permitted, the process proceeds to step S160.
Specifically, the signal light corresponding to the target vehicle is a signal light that the target vehicle is currently to observe.
If the signal lamp corresponding to the target vehicle does not allow the right turn, it is indicated that the subsequent target vehicle cannot turn right, and even if the subsequent target vehicle turns right, the traffic violation monitoring device can also snapshot the subsequent target vehicle, and the traffic violation monitoring device is not in the snapshot range of the snapshot device.
S150: when the target vehicle finishes turning to the right, the target vehicle is captured to obtain a first image, and the first image is reported.
Specifically, when the target vehicle is located on the right side of the right turning line 105 in fig. 2, it indicates that the target vehicle completes the right turning, and the target vehicle is captured and reported to alarm.
S160: and ending the flow.
From the above, the method for capturing the right turn without stopping the vehicle determines that the target vehicle is not stopped when the time that the target vehicle passes through the preset road section is not greater than the preset time threshold, then determines whether the signal lamp corresponding to the target vehicle allows the right turn, if the signal lamp allows the right turn, the target vehicle is likely to turn right, and determines that the target vehicle is captured and reported after the target vehicle determines that the right turn is completed, so that the target vehicle can be monitored to stop when the right turn is completed, and the accident occurrence rate is reduced.
Referring to fig. 3, fig. 3 is a schematic flow chart of another embodiment of the capturing method without stopping when turning right according to the present application, and the method includes:
s210: and detecting the target vehicle in the monitoring video of the monitoring equipment.
S220: after the target vehicle is detected to pass through the starting line of the preset road section, whether the signal lamp allows right turning is detected.
S230: and after the fact that the signal lamp allows right turning is detected, the target vehicle is captured to obtain a third image, and then when the fact that the target vehicle passes through the preset road section is detected, the time that the target vehicle passes through the preset road section is obtained.
S240: and judging whether the time of the target vehicle passing through the preset road section is not greater than a preset time threshold value.
If the determination result is yes, the process proceeds to step S250, and if the determination result is no, the process proceeds to step S290.
S250: and judging whether the signal lamp corresponding to the target vehicle allows right turn or not.
If the determination result is allowable, the process proceeds to step S260, and if the determination result is not allowable, the process proceeds to step S290.
S260: and capturing the target vehicle to obtain a second image.
S270: when the target vehicle finishes turning to the right, the target vehicle is captured to obtain a first image.
S280: and reporting the first image, the second image and the third image.
S290: and ending the flow.
Different from the real-time mode, in the present embodiment, in order to form a complete evidence chain that the target vehicle does not stop turning right, the third image, the second image, and the first image are sequentially captured. That is, in the present embodiment, the first image, the second image, and the third image are either not reported at the end or reported together at the end.
In other embodiments, the third image and/or the second image may not be captured, that is, only the first image and the second image, only the first image and the third image, or only the first image may be captured at the time of final report.
Meanwhile, when the target vehicle reaches the starting point line of the preset road section, whether the signal lamp corresponding to the target vehicle allows right turn or not is detected, and if the signal lamp does not allow right turn all the time, the time that the target vehicle passes through the preset road section cannot be acquired, because: if the signal lamp does not allow the right turn, it is indicated that the subsequent target vehicle cannot rotate to the right, and even if the subsequent target vehicle rotates to the right, the traffic violation monitoring device can shoot the subsequent target vehicle, and the traffic violation monitoring device is not in the range of shooting by the shooting device, that is to say, when the starting point of the target vehicle passing through the preset road section is detected successively, the time of the target vehicle passing through the preset road section can be acquired only when the signal lamp allows the right turn is detected.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of the snapshot apparatus of the present application. The capturing device 200 includes a processor 210, a memory 220, and a communication circuit 230, wherein the processor 210 is respectively coupled to the memory 220 and the communication circuit 230, the memory 220 stores program data, and the processor 210 implements the steps in the capturing method for capturing without stopping the right turn according to any of the embodiments by executing the program data in the memory 220, wherein detailed steps can refer to the embodiments described above and are not described herein again.
The capturing device 200 may be any device with information processing capability, such as a computer and a mobile phone, and is not limited herein.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of the snapshot apparatus of the present application. The capturing device 300 includes a vehicle detecting module 310, a time acquiring module 320, a right turn determining module 330, and a vehicle capturing module 340.
The vehicle detection module 310 is used for detecting a target vehicle in a surveillance video of a surveillance device.
The time obtaining module 320 is connected to the vehicle detecting module 310, and configured to obtain a time when the target vehicle passes through a preset road segment when it is detected that the target vehicle passes through the preset road segment, where a finish line of the preset road segment corresponds to a stop line at a crossing.
The right turn determining module 330 is connected to the time obtaining module 320, and configured to determine whether a signal lamp corresponding to the target vehicle allows a right turn when the time that the target vehicle passes through the preset road segment is not greater than a preset time threshold.
The vehicle snapshot module 340 is connected to the right turn judgment module 330, and is configured to snapshot the target vehicle to obtain a first image and report the first image when the right turn judgment module 330 judges that the signal lamp allows right turn and when the target vehicle completes right turn.
In an embodiment, when the right turn determining module 330 determines that the signal lamp allows right turn, the vehicle capturing module 340 is further configured to capture the target vehicle to obtain a second image, so as to report the second image when reporting the first image in the following.
In an embodiment, the right turn determining module 330 is further configured to detect whether the signal lamp allows right turn after detecting that the target vehicle passes through the start line of the preset road segment, and the time acquiring module 320 acquires the time when the target vehicle passes through the preset road segment after detecting that the signal lamp allows right turn.
In an embodiment, the vehicle capturing module 340 is further configured to capture the target vehicle to obtain a third image when the right turn of the signal lamp is detected after the target vehicle is detected to pass through the start point line of the preset road segment, so as to report the third image when the first image is reported subsequently.
In one embodiment, the time obtaining module 320 is specifically configured to obtain a current first time when it is detected that the target vehicle reaches a start point line of a preset road segment; when the target vehicle is detected to reach the finish line of the preset road section, acquiring a current second moment; and calculating a time difference value between the second moment and the first moment, and taking the time difference value as the time when the target vehicle passes through the preset road section.
In one embodiment, the vehicle detection module 310 is specifically configured to obtain a monitoring video acquired by a monitoring device in real time; and performing target recognition on video frames in the monitoring video in real time to detect the target vehicle.
In one embodiment, the vehicle detection module 310 is specifically configured to identify the target vehicle and calculate a real-time position of the tracked target vehicle in a subsequent video frame in the surveillance video when the target vehicle is identified.
In one embodiment, the vehicle detection module 310 is specifically configured to acquire the position of the license plate frame when the license plate frame of the target vehicle is identified, and use the position of the license plate frame as the real-time position of the target vehicle.
The capturing device 300 may be any device with information processing capability, such as a computer and a mobile phone, and is not limited herein.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an embodiment of a computer storage medium according to the present application. The computer storage medium 400 stores a computer program 510, the computer program 510 being executable by a processor to implement the steps of any of the methods described above.
The computer storage medium 400 may be a device that can store the computer program 410, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, or may be a server that stores the computer program 410, and the server may send the stored computer program 410 to another device for operation, or may self-operate the stored computer program 410.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (9)
1. A snapshot method of no-stop right-turn, the method comprising:
detecting a target vehicle in a monitoring video of monitoring equipment;
when the target vehicle is detected to pass through a preset road section, acquiring the time of the target vehicle passing through the preset road section, wherein the finish line of the preset road section corresponds to a stop line at a road junction;
if the time that the target vehicle passes through the preset road section is not greater than a preset time threshold, judging whether a signal lamp corresponding to the target vehicle allows right turning;
if the signal lamp allows right turning, when the target vehicle finishes right turning, capturing the target vehicle to obtain a first image, and reporting the first image;
when it is detected that the target vehicle passes through a preset road section, before the time when the target vehicle passes through the preset road section is acquired, the method further includes:
after the target vehicle is detected to pass through the starting point line of the preset road section, whether the signal lamp allows right turning is detected;
and after the fact that the signal lamp allows right turn is detected, executing the step of acquiring the time for the target vehicle to pass through a preset road section when the fact that the target vehicle passes through the preset road section is detected.
2. The method of claim 1, further comprising:
and if the signal lamp allows right turning, capturing the target vehicle to obtain a second image, and reporting the second image when the first image is reported subsequently.
3. The method of claim 1, further comprising:
when the fact that the signal lamp allows right turning is detected, the target vehicle is captured to obtain a third image, and the third image is reported when the first image is reported subsequently.
4. The method according to claim 1, wherein the step of obtaining the time when the target vehicle passes through the preset section comprises:
when the target vehicle is detected to reach the starting point line of the preset road section, acquiring a current first moment;
when the target vehicle is detected to reach the finish line of the preset road section, acquiring a current second moment;
and calculating the time difference between the second moment and the first moment, and taking the time difference as the time of the target vehicle passing through the preset road section.
5. The method of claim 1, wherein the step of detecting the target vehicle in the surveillance video of the surveillance device comprises:
acquiring the monitoring video acquired by the monitoring equipment in real time;
and carrying out target identification on video frames in the monitoring video in real time so as to detect the target vehicle.
6. The method of claim 5, wherein the step of performing object recognition on video frames in the surveillance video in real time comprises:
upon identifying the target vehicle, identifying the target vehicle and calculating a real-time location for tracking the target vehicle in a subsequent video frame in the surveillance video.
7. The method of claim 5, wherein the step of performing object recognition on video frames in the surveillance video in real time further comprises:
and when the license plate frame of the target vehicle is identified, acquiring the position of the license plate frame, and taking the position of the license plate frame as the real-time position of the target vehicle.
8. A snapshot apparatus comprising a processor, a memory and a communication circuit, wherein the processor is respectively coupled to the memory and the communication circuit, the memory stores program data, and the processor executes the program data in the memory to realize the steps of the method according to any one of claims 1 to 7.
9. A computer storage medium, characterized in that the computer storage medium stores a computer program executable by a processor to implement the steps in the method according to any one of claims 1-7.
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| CN104574980B (en) * | 2014-12-01 | 2017-11-17 | 山东易华录信息技术有限公司 | Record the not parking avoidance pedestrian's illegal activities system and method for crossing turning motor vehicle |
| CN106327862B (en) * | 2015-06-24 | 2019-07-23 | 宝山钢铁股份有限公司 | Plant area's vehicle driving safety alarm method and system based on GPS and GIS |
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