CN111325988A - Real-time red light running detection method, device and system based on video and storage medium - Google Patents
Real-time red light running detection method, device and system based on video and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a real-time red light running detection method and a real-time red light running detection device based on videos, wherein the method comprises the following steps: acquiring a front-end real-time video stream, and analyzing to obtain a plurality of images to be processed; extracting an image to be processed for manual marking to obtain a lane area, a lane type, a traffic light area and a traffic light type, and establishing a corresponding relation; detecting the vehicle for the real-time video stream, and obtaining a target vehicle by combining with the manually marked lane area; tracking a target vehicle, and recording position information of the target vehicle and corresponding traffic light information in the tracking process; and when the target vehicle leaves the video area, judging whether the target vehicle runs the red light according to the corresponding relation and the recorded information. By implementing the embodiment of the invention, the camera data (namely front-end video stream) of the traffic light gate can be detected in real time, the red light running vehicle can be accurately and effectively captured, the acquired illegal information is accurate, the false alarm rate is low, and the manpower and material resources of intelligent off-site law enforcement are greatly saved.
Description
Technical Field
The invention belongs to the technical field of deep learning and artificial intelligence, and particularly relates to a real-time red light running detection method, device and system based on video and a storage medium.
Background
At present, the off-site law enforcement is a main means of traffic police department law enforcement, and the principle is to analyze the video monitoring of the traffic police department in real time by using an algorithm to obtain an illegal target in the video. According to statistics, the illegal behaviors punished by the intelligent off-site law enforcement system are more and more, the illegal behaviors punishment account for more than 80% of the total punishment amount, the illegal information obtained by the method is better and accurate, the leakage rate is lower, the intelligent off-site law enforcement system greatly saves the police force, and therefore the limited police force can be put into a more needed place. For example, for the most motor vehicles running red light in intelligent off-site law enforcement, the system ensures that the detected illegal data has high enough accuracy and low leakage rate, and because the general appointed time for timely auditing, rechecking and uploading a large amount of traffic illegal data is 7 days, the accuracy of the illegal data is ensured under the condition that the intelligent off-site law enforcement can detect a large amount of illegal data, and the working efficiency is improved. How to achieve the above requirements is a technical problem to be solved urgently.
Disclosure of Invention
In view of the technical defects in the prior art, embodiments of the present invention provide a method, an apparatus, a system, and a storage medium for detecting a red light running in real time based on a video.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a video-based real-time red light running detection method, including:
video image extraction: acquiring a real-time video stream shot by a front-end camera, and analyzing the real-time video stream to obtain a plurality of images to be processed;
signal lamp and lane corresponding processing steps: extracting one image to be processed for manual marking to obtain a lane area, a lane type, a traffic light area and a traffic light type, and establishing a corresponding relation between the lane type and the traffic light type;
a vehicle detection step: carrying out vehicle detection on the real-time video stream, and obtaining a target vehicle entering a lane area by combining the manually marked lane area;
vehicle tracking step: tracking the target vehicle, and recording the position information of the target vehicle and the corresponding traffic light information in the tracking process;
judging red light running: and when the target vehicle leaves the video area, judging whether the target vehicle runs the red light or not according to the corresponding relation, the recorded position information of the target vehicle and the corresponding traffic light information.
The lane types comprise a left U-turn lane, a left-turn straight lane, a right-turn straight lane and a right-turn lane; the red street lamp types comprise a left-turning arrow, a straight arrow, a right-turning arrow and a round lamp.
As a specific implementation manner of the present application, the video image extracting step specifically includes:
and analyzing the real-time video stream by adopting an ffmpeg program to obtain a plurality of to-be-processed graphs.
As a specific embodiment of the present application, the vehicle detecting step specifically includes:
and detecting the real-time video stream by using a YOLO algorithm, finely adjusting and correcting a vehicle detection process by using artificially marked real scene data to obtain a target vehicle entering the lane area, and caching and recording a picture corresponding to the target vehicle.
Further, the step of detecting the red light running further comprises:
if the target vehicle runs the red light, three evidence obtaining images before, during and after the target vehicle runs the red light are obtained, and the positions of the target vehicle in the three evidence obtaining images are marked;
and if the target vehicle does not run the red light, no processing is performed.
Based on the same inventive concept, in a second aspect, an embodiment of the present invention provides a real-time red light running detection apparatus based on a video, including:
the video image extraction unit is used for acquiring a real-time video stream shot by a front-end camera and analyzing the real-time video stream to obtain a plurality of images to be processed;
the signal lamp and lane processing unit is used for extracting one image to be processed for manual marking to obtain a lane area, a lane type, a traffic light area and a traffic light type and establishing a corresponding relation between the lane type and the traffic light type;
the vehicle detection unit is used for detecting vehicles in the real-time video stream and obtaining target vehicles entering the lane area by combining the manually marked lane area;
the vehicle tracking unit is used for tracking the target vehicle and recording the position information of the target vehicle and the corresponding traffic light information in the tracking process;
red light running judgment unit: and when the target vehicle leaves the video area, judging whether the target vehicle runs the red light or not according to the corresponding relation, the recorded position information of the target vehicle and the corresponding traffic light information.
In a third aspect, an embodiment of the present invention provides another real-time red light running detection apparatus based on video, which includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, where the computer program includes program instructions, and the program instructions, when executed by a processor, cause the processor to execute the method of the first aspect.
In a fifth aspect, an embodiment of the present invention provides a real-time red light running detection system based on a video, including a front-end camera and a detection device, which are in communication with each other. Wherein the detection device is as described above.
By implementing the embodiment of the invention, the camera data (namely front-end video stream) of the traffic light gate can be detected in real time, the red light running vehicle can be accurately and effectively captured, the acquired illegal information is accurate, the false alarm rate is low, and the manpower and material resources of intelligent off-site law enforcement are greatly saved.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below.
Fig. 1 is a schematic flow chart of a video-based real-time red light running detection method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a video-based real-time red light running detection system according to an embodiment of the present invention;
FIG. 3 is a schematic view of a structure of the detecting device shown in FIG. 2;
fig. 4 is another schematic structural diagram of the detecting device shown in fig. 2.
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 some, not all, embodiments of the present invention. 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.
Referring to fig. 1, a real-time red light running detection method based on video provided by the embodiment of the invention includes:
s101, video image extraction: and acquiring a real-time video stream shot by a front-end camera, and analyzing the real-time video stream to obtain a plurality of images to be processed.
Specifically, each traffic intersection is provided with a camera, in the detection method of the embodiment, a real-time video stream from the front end is acquired through the camera, and the video image of the front end camera is analyzed by using ffmpeg to acquire an image of each frame, the ffmpeg only needs to open the video stream once, and then the image of each frame is subjected to logic processing.
S102, a signal lamp and lane corresponding processing step: and extracting an image to be processed for manual marking to obtain a lane area, a lane type, a traffic light area and a traffic light type, and establishing a corresponding relation between the lane type and the traffic light type.
Specifically, a lane area, a lane type, a traffic light area and a traffic light type in the image to be processed are manually marked, and then a corresponding relation between the lane type and the traffic light type is established through an algorithm (namely a software program). The traffic light type generally comprises a left-turn arrow, a straight arrow, a right-turn arrow and a round light, the lane type generally comprises a left-turn, a left-turn and a straight, a right-turn and a straight, and the number of the lights and the number of the lanes do not correspond under most conditions, the number of the lanes is generally greater than the number of the lights, the software uses the lanes as a reference to construct a data structure of one lane corresponding to multiple signal lights, and the corresponding problem of the signal lights and the lanes is solved. For example, a left-turn straight lane corresponds to a left-turn arrow and a straight arrow.
S103, vehicle detection: and detecting the vehicle for the real-time video stream, and obtaining the target vehicle entering the lane area by combining the manually marked lane area.
The part uses an improved YOLO algorithm as detection, fine adjustment and correction are carried out on vehicle detection through real scene data marked by the software, the software only concerns vehicles entering a lane area in the vehicle detection part, and the vehicles are cached and recorded, because each vehicle is possible to be one running red light in the future. It should be noted that the real scene data marked by the user refers to the marked lane area, lane type, traffic light area and traffic light type.
S104, vehicle tracking: and tracking the target vehicle, and recording the position information of the target vehicle and the corresponding traffic light information in the tracking process.
For a target vehicle, the detection method of the embodiment tracks the target vehicle until the target vehicle leaves a video area, and records the position information of the target vehicle and the corresponding traffic light information in the tracking process as evidence obtaining records.
S105, judging red light running: and when the target vehicle leaves the video area, judging whether the target vehicle runs the red light according to the corresponding relation, the recorded position information of the target vehicle and the corresponding traffic light information, obtaining three evidence obtaining images for evidence running the red light, and marking the position of the target vehicle in the evidence obtaining images.
Specifically, when a target vehicle leaves a video area, the red light running traffic violation rule is used as a complete detection record for one time, whether the vehicle runs the red light is judged according to the recorded information, if the target vehicle runs the red light, three evidence obtaining images before, during and after the target vehicle runs the red light are obtained, and the positions of the target vehicle in the three evidence obtaining images are marked; and if the target vehicle does not run the red light, the data is not processed.
It should be noted that, the step of determining whether the vehicle runs the red light by using the red light running traffic violation rule according to the recorded information specifically includes:
according to the fact that the marked information lane corresponds to the traffic light, for example, a left-turn straight lane corresponds to a left-turn arrow lamp and a straight lamp, if it is detected that the primary position of the vehicle position 1 appears in the left-turn straight lane, the vehicle is tracked, three images and lamp information corresponding to the lane are stored until the vehicle disappears from a video area, if it is detected that the vehicle turns left, whether the left-turn lamp storing the three images is a red lamp or not needs to be judged, and if the left-turn lamp in the three stored images is red or red yellow, the vehicle can be judged to run the red lamp.
The embodiment of the invention provides a red light running judgment algorithm process by utilizing a deep learning algorithm for detection, can detect the camera data (namely front-end video stream) of a traffic light gate in real time, can accurately and effectively snapshot the red light running vehicle, has accurate illegal information and low false alarm rate, and greatly saves manpower and material resources for intelligent off-site law enforcement.
Based on the same inventive concept, the embodiment of the invention provides a real-time red light running detection system based on video. As shown in fig. 2, the inspection system includes a front-end camera 100 and an inspection apparatus 200 that communicate with each other.
Alternatively, in a preferred embodiment of the present invention, as shown in fig. 3, the detecting device 200 includes:
the video image extraction unit 20 is configured to obtain a real-time video stream captured by a front-end camera, and analyze the real-time video stream to obtain a plurality of images to be processed;
the signal lamp and lane processing unit 21 is used for extracting one image to be processed for manual marking to obtain a lane area, a lane type, a traffic light area and a traffic light type, and establishing a corresponding relation between the lane type and the traffic light type;
the vehicle detection unit 22 is used for detecting a vehicle from the real-time video stream and obtaining a target vehicle entering a lane area by combining the lane area marked manually;
the vehicle tracking unit 23 is configured to track the target vehicle, and record position information of the target vehicle and corresponding traffic light information in a tracking process;
red light running determination unit 24: and when the target vehicle leaves the video area, judging whether the target vehicle runs the red light or not according to the corresponding relation, the position information of the target vehicle and the corresponding traffic light information.
The video image extraction unit 20 is specifically configured to:
and analyzing the real-time video stream by adopting an ffmpeg program to obtain a plurality of to-be-processed graphs.
The vehicle detection unit 22 is specifically configured to:
and detecting the real-time video stream by using a YOLO algorithm, finely adjusting and correcting a vehicle detection process by using artificially marked real scene data to obtain a target vehicle entering the lane area, and caching and recording a picture corresponding to the target vehicle.
Further, the red light running detection unit 24 is further configured to:
if the target vehicle runs the red light, three evidence obtaining images before, during and after the target vehicle runs the red light are obtained, and the positions of the target vehicle in the three evidence obtaining images are marked;
and if the target vehicle does not run the red light, no processing is performed.
Alternatively, as shown in fig. 4, in another preferred embodiment of the present invention, the video-based real-time red light running detection apparatus may include: one or more processors 101, one or more input devices 102, one or more output devices 103, and memory 104, the processors 101, input devices 102, output devices 103, and memory 104 being interconnected via a bus 105. The memory 104 is used to store a computer program comprising program instructions, the processor 101 being configured to invoke the program instructions to perform the methods of the above-described video-based real-time red light running detection method embodiment portions.
It should be understood that, in the embodiment of the present invention, the Processor 101 may be a Central Processing Unit (CPU), and the Processor may also be other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 102 may include a keyboard or the like, and the output device 103 may include a display (LCD or the like), a speaker, or the like.
The memory 104 may include read-only memory and random access memory, and provides instructions and data to the processor 101. A portion of the memory 104 may also include non-volatile random access memory. For example, the memory 104 may also store device type information.
In a specific implementation, the processor 101, the input device 102, and the output device 103 described in this embodiment of the present invention may execute the implementation manner described in the embodiment of the video-based real-time red light running detection method provided in this embodiment of the present invention, which is not described herein again.
The detection system provided by the embodiment of the invention has the core that a deep learning target detection mode is used, the system has a good effect in an actual scene, the system can detect the data of the camera at the traffic light gate in real time through testing, the red light running vehicle can be accurately and effectively captured, and illegal evidence pictures are stored. In addition, the illegal information acquired by the system is accurate, the false alarm rate is low, and manpower and material resources of law enforcement personnel are greatly saved.
It should be noted that, for the specific workflow of the detection apparatus in this embodiment, please refer to the foregoing method embodiment, which is not described herein again.
Further, an embodiment of the present invention also provides a readable storage medium, in which a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, implement: the real-time red light running detection method based on the video is disclosed.
The computer readable storage medium may be an internal storage unit of the background server described in the foregoing embodiment, for example, a hard disk or a memory of the system. The computer readable storage medium may also be an external storage device of the system, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the system. Further, the computer readable storage medium may also include both an internal storage unit and an external storage device of the system. The computer-readable storage medium is used for storing the computer program and other programs and data required by the system. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A real-time red light running detection method based on videos is characterized by comprising the following steps:
video image extraction: acquiring a real-time video stream shot by a front-end camera, and analyzing the real-time video stream to obtain a plurality of images to be processed;
signal lamp and lane corresponding processing steps: extracting one image to be processed for manual marking to obtain a lane area, a lane type, a traffic light area and a traffic light type, and establishing a corresponding relation between the lane type and the traffic light type;
a vehicle detection step: carrying out vehicle detection on the real-time video stream, and obtaining a target vehicle entering a lane area by combining the manually marked lane area;
vehicle tracking step: tracking the target vehicle, and recording the position information of the target vehicle and the corresponding traffic light information in the tracking process;
judging red light running: and when the target vehicle leaves the video area, judging whether the target vehicle runs the red light or not according to the corresponding relation, the recorded position information of the target vehicle and the corresponding traffic light information.
2. The detection method according to claim 1, wherein the video image extraction step specifically comprises:
and analyzing the real-time video stream by adopting an ffmpeg program to obtain a plurality of to-be-processed graphs.
3. The detection method according to claim 1, characterized in that said vehicle detection step comprises in particular:
and detecting the real-time video stream by using a YOLO algorithm, finely adjusting and correcting a vehicle detection process by using artificially marked real scene data to obtain a target vehicle entering the lane area, and caching and recording a picture corresponding to the target vehicle.
4. The detection method according to any one of claims 1 to 3, wherein the red light running detection step further comprises:
if the target vehicle runs the red light, three evidence obtaining images before, during and after the target vehicle runs the red light are obtained, and the positions of the target vehicle in the three evidence obtaining images are marked;
and if the target vehicle does not run the red light, no processing is performed.
5. The detection method according to claim 1, wherein the lane types include a left-turn lane, a left-turn straight lane, a right-turn straight lane, and a right-turn lane; the red street lamp types comprise a left-turning arrow, a straight arrow, a right-turning arrow and a round lamp.
6. A real-time red light running detection device based on video is characterized by comprising:
the video image extraction unit is used for acquiring a real-time video stream shot by a front-end camera and analyzing the real-time video stream to obtain a plurality of images to be processed;
the signal lamp and lane processing unit is used for extracting one image to be processed for manual marking to obtain a lane area, a lane type, a traffic light area and a traffic light type and establishing a corresponding relation between the lane type and the traffic light type;
the vehicle detection unit is used for detecting vehicles in the real-time video stream and obtaining target vehicles entering the lane area by combining the manually marked lane area;
the vehicle tracking unit is used for tracking the target vehicle and recording the position information of the target vehicle and the corresponding traffic light information in the tracking process;
red light running judgment unit: and when the target vehicle leaves the video area, judging whether the target vehicle runs the red light or not according to the corresponding relation, the recorded position information of the target vehicle and the corresponding traffic light information.
7. The detection device according to claim 6, characterized in that the vehicle detection unit is specifically configured to:
and detecting the real-time video stream by using a YOLO algorithm, finely adjusting and correcting a vehicle detection process by using artificially marked real scene data to obtain a target vehicle entering the lane area, and caching and recording a picture corresponding to the target vehicle.
8. A video-based real-time red light running detection apparatus, comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, and the processor is configured to invoke the program instructions to perform the method of claim 4.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method of claim 4.
10. A real-time red light running detection system based on video, comprising a front-end camera and a detection device communicating with each other, wherein the detection device is as claimed in claim 8.
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| CN116092023A (en) * | 2023-02-03 | 2023-05-09 | 以萨技术股份有限公司 | Data processing system for determining abnormal behaviors |
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| CN116880430A (en) * | 2023-09-08 | 2023-10-13 | 东晶电子金华有限公司 | Control method and system for fine tuning alignment of full-automatic resonator |
| CN116880430B (en) * | 2023-09-08 | 2023-11-28 | 东晶电子金华有限公司 | Control method and system for fine tuning alignment of full-automatic resonator |
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