CN109146914B - Drunk driving behavior early warning method for expressway based on video analysis - Google Patents
Drunk driving behavior early warning method for expressway based on video analysis Download PDFInfo
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Abstract
The invention provides a drunk driving behavior early warning method of a highway based on video analysis, which is characterized by comprising the following steps of: a track calculation step, namely shooting a track of a vehicle passing by, carrying out algorithm analysis on the track, and judging whether the vehicle is suspected to be drunk to drive; a path monitoring step of monitoring a running path of a suspected drunk driving vehicle, generating driving information of the vehicle and giving an alarm; drunk driving judging step, namely confirming whether the vehicle is drunk driven or not; a step of monitoring and tracking, in which a dispatcher monitors the vehicle; a violation warning step of warning the vehicle to stop drunk driving and providing early warning information for other drivers; an information storage step of storing driving information of the vehicle separately; the invention has the advantages that: the drunk driving is judged through track recognition, driving behaviors are automatically analyzed, and the processing is rapid and reliable; the dangerous driving behavior vehicles are early-warned for expressway managers, and the expressway operation management level is improved.
Description
Technical Field
The invention relates to the field of traffic management, in particular to a drunk driving behavior early warning method of a highway based on video analysis.
Background
The twenty second rule of the road traffic safety law of the people's republic of China, namely, drinking and taking mental medicines or narcotics regulated by the state, or having diseases which prevent the safe driving of the motor vehicle, or having transitional fatigue to influence the safe driving, and not driving the motor vehicle. "
In fact, drunk driving is common in motor vehicle illegal events, and drunk driving not only causes life and property loss of vehicles, cargoes and drivers, but also causes damage to various management equipment, sign labels and the like attached to buildings such as roads, bridges, tunnels, houses and the like. Expressways are different from urban roads because of the sealing and continuous driving requirements, no law enforcement personnel detect drunk driving behaviors in the middle, so that a plurality of drinkers are caused to go into the expressway after being drunk due to the mind and mind of the drinkers. The expressway has serious traffic accident consequence because of high vehicle speed and large vehicle quantity. Traffic accidents generally have serious influence on the traffic of the whole road, the road traffic cannot be recovered in a short time, and secondary accidents are easy to occur.
The highway management at present mainly is that monitoring center surveillance personnel manage through the video, because the video equipment quantity is more, and the work of surveillance personnel focuses on the dispatch processing after the accident takes place, lacks effective observation to vehicle driving action. It can be said that the existing road traffic management means have a management blind area for drunk driving behavior, can not find vehicles with abnormal driving behavior in time, can not predict the hazard about to be brought by the vehicles with abnormal driving behavior, and can not manage drunk drivers who have intruded into expressways. The accident-causing vehicle can be caught only after the accident occurs and is processed after the accident. The processing means can not maintain the road traffic order, and the property and life loss caused by drunk driving vehicles are difficult to recover.
Disclosure of Invention
The invention aims to provide a drunk driving behavior early warning method for a highway based on video analysis, which realizes the discovery, early warning and guiding of vehicles running into the highway and can maintain the road traffic order to the maximum extent and ensure the safety of lives and properties of people and facilities and equipment of the highway.
In order to achieve the above object, the technical scheme of the present invention is as follows:
the drunk driving behavior early warning method for the expressway based on video analysis is characterized by comprising the following steps of:
step S1), track calculation, namely shooting a passing vehicle, acquiring a running path of the vehicle, carrying out deviation degree feature analysis on driving behaviors of the vehicle on an origin-destination path, judging whether the vehicle is drunk driving or not, if so, carrying out step S2, and if not, returning to step S1;
step S2), a path monitoring step, namely monitoring the driving path of the suspected drunk driving vehicle, generating driving information of the vehicle and giving an alarm;
step S3), a drunk driving judgment step, namely receiving suspected alarm signals, receiving driving information of the vehicle, calling a subsequent camera on a vehicle driving path to continuously shoot the vehicle, confirming again according to the deviation degree characteristic analysis in the step S1, submitting manual analysis after confirmation, and manually confirming whether the vehicle is drunk driven or not, if yes, executing the step S4; if not, stopping tracking the vehicle, and returning to the step S1;
step S4), monitoring and tracking, namely dispatching expressway law enforcement personnel and road administration inspection assistant inspection personnel to monitor the vehicle;
step S5), a violation warning step, namely warning the vehicle to stop drunk driving, enter a service area or leave a highway nearby, and providing early warning information for other drivers nearby the vehicle;
step S6) an information storage step of storing the driving information of the vehicle separately.
Further, the track calculation step includes the steps of:
step S101) selecting a background image from the video image sequence, and establishing a background model through a ViBe algorithm;
step S102), for each vehicle entering a shooting area, performing differential operation on two adjacent frames in a video image sequence by an inter-frame difference method, wherein the previous frame image is pk-1 (x, y), and the current frame image is pk (x, y);
step S103), judging whether a vehicle enters a detection area, if so, jumping to step S104; if not, jumping to step S102;
step S104), calculating the difference FD (x, y) between the current frame and the background frame, and extracting a complete target from the image; calculating the difference FG (x, y) between the previous 1 frame and the background frame to obtain the change quantity of the target;
step S105), obtaining an intersection of FD (x, y) and FG (x, y) to obtain a rough moving region image of the moving target;
step S106), the motion area is closed, continuous and complete through mathematical morphological operation, and noise in the background is removed;
step S107), judging whether the vehicle drives away from the shooting area, if so, jumping to step S108; if not, returning to the step S105;
step S108), calculating an entering point position and an exiting point position straight line path for each vehicle entering the shooting area;
step S109), respectively calculating the deviation degree between the vehicle position and the straight line of the entering and leaving points in each frame of image;
step S110), judging whether the number of times of positive deviation and negative deviation of the positions of the vehicle at the same time is three, if so, the vehicle is a suspected drunk driving vehicle; if not, the vehicle is not drunk driving.
Further, the driving information includes a vehicle behavior short video and a vehicle close-up photograph.
The invention has the advantages that:
1) Judging the running behavior of the vehicle by adopting an inter-frame difference method on the running track of the vehicle, and analyzing only the difference between pictures without analyzing the whole picture by the algorithm, so as to automatically analyze the driving behavior of a highway vehicle driver, wherein the analysis flow is rapid and reliable;
2) Early warning dangerous driving behavior vehicles for expressway managers, realizing fine management of the expressway vehicles and improving the expressway operation management level;
3) The dangerous driving behavior vehicle is intervened in time, other drivers around the vehicle are warned, and expressway traffic accidents and important life and property losses are avoided.
Drawings
FIG. 1 is a schematic diagram of the overall flow of the present invention;
FIG. 2 is a flow chart of the path monitoring step of the present invention;
FIG. 3 is a schematic flow chart of the monitoring and tracking step in the present invention;
FIG. 4 is a schematic diagram showing a specific flow of the track calculation step in the present invention;
fig. 5 is a block diagram of a system architecture in which the present invention may be implemented.
Reference numerals:
1 video monitoring system 101 shooting equipment 102 drunk driving analysis module
103 video processing module 104 alarm module 2 monitoring center
3 dispatch system 301 receives and processes police dispatch module 302 road political affairs and patrol and examine module
4 variable information board 5 information storage system.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples: the system is characterized by comprising a video monitoring system 1, a monitoring center 2, a shooting device 101, an drunk driving analysis module 102, a video processing module 103 and an alarm module 104, wherein the shooting device 101 is connected to the drunk driving analysis module 102, the drunk driving analysis module 102 is respectively connected to the video processing module 103 and the alarm module 104, and the video processing module 103 and the alarm module 104 are connected to the monitoring center 2;
the shooting device 101 comprises a bayonet video monitoring camera, an electric police video monitoring camera, a road section video monitoring camera and a high-point monitoring camera, wherein the bayonet video monitoring camera, the electric police video monitoring camera, the road section video monitoring camera and the high-point monitoring camera are all facilities built along the expressway, and are managed and maintained according to daily management requirements of the expressway so as to be communicated with the monitoring center 2;
in addition, it also comprises
The monitoring center 2;
a dispatch system 3, the dispatch system 3 being connected to the monitoring center 2;
a variable information board 4, the variable information board 4 being connected to the monitoring center 2;
an information storage system 5, said information storage system 5 being connected to the monitoring center 2.
In this embodiment, as shown in fig. 1, the method for warning drunk driving behavior of a highway based on video analysis comprises the following steps,
step S1), track calculation step, wherein the shooting equipment 101 shoots the passed vehicle in real time and sends the passed vehicle to the drunk driving analysis module 102, algorithm analysis is carried out on the passed vehicle track to judge whether the drunk driving is suspected, if yes, step S2 is carried out, and if not, step S1 is returned;
step S2) a path monitoring step, as shown in fig. 2, the photographing device 101 continuously monitors the driving path of the suspected drunk driving vehicle, and sends the monitored driving path to the drunk driving analysis module 102, the drunk driving analysis module 102 obtains the driving path of the vehicle, performs deviation degree feature analysis on the driving behavior of the vehicle on the origin-destination path, judges whether the suspected drunk driving behavior exists, if the suspected drunk driving behavior exists, the drunk driving analysis module 102 sends a real-time vehicle video to the video processing module 103, the video processing module 103 intercepts short videos and close-up photos of the suspected drunk driving vehicle from the real-time vehicle video, and sends the short videos and close-up photos to the monitoring center 2, and meanwhile, the video processing module 103 sends a starting command to the alarm module 104, and the alarm module 104 alarms to the monitoring center 2;
step S3) drunk driving judgment, namely, the monitoring center 2 receives an alarm signal sent by the alarm module 104, receives the vehicle driving information generated by the video processing module 103, displays video and photo information of the vehicle through a large screen of the monitoring center 2, calls a subsequent shooting device 101 on a vehicle driving path to continuously shoot the vehicle, displays real-time images of the subsequent shooting device 101, displays all subsequent cameras on the vehicle driving path, including intersection, road and roadside cameras, according to the driving sequence, ensures that the vehicle form path can be monitored in the whole course, confirms according to the deviation degree feature analysis in the step S1 again, manually confirms whether the vehicle is drunk driven, and if yes, carries out the step S4; if not, stopping tracking the vehicle, and returning to the step S1;
step S4) a monitoring and tracking step, as shown in FIG. 3, a warning receiving and dispatching module 301 and a road inspection module 302 are used for dispatching expressway law enforcement personnel and road inspection assistant inspection personnel to monitor the vehicle;
the alarm receiving and processing scheduling module 301 is built by a traffic police department, provides an alarm interface for the monitoring center 2, and establishes a cooperative work path between the monitoring center 2 and a high-speed traffic police management department;
the road political inspection module 302 is built by a highway management department, and the monitoring center 2 can issue an inspection assisting command to road inspection personnel through a road political inspection system;
step S5) a violation warning step, namely warning the vehicle to stop drunk driving, enter a service area or leave the expressway nearby through a variable information board 4 at the roadside of the expressway, specifically, the variable information board 4 can change the display word of the vehicle, warning drunk driving to stop drunk driving, prompting other drivers nearby the vehicle to have drunk driving conditions, and achieving the aim of dangerous early warning.
Step S6) an information storage step, in which the information storage system 5 stores driving information of the vehicle separately, the separately stored driving information including a short video and a close-up photograph of the drunk driving vehicle for post-processing driving behavior analysis and illicit behavior punishment for drunk drivers.
As shown in fig. 4, the trajectory calculation step includes the steps of:
step S101) selecting a background image from the video image sequence, and establishing a background model through a ViBe algorithm;
step S102), for each vehicle entering a shooting area, performing differential operation on two adjacent frames in a video image sequence by an inter-frame difference method, wherein the previous frame image is pk-1 (x, y), and the current frame image is pk (x, y);
step S103), judging whether a vehicle enters a detection area, if so, jumping to step S104; if not, jumping to step S102;
step S104), calculating the difference FD (x, y) between the current frame and the background frame, and extracting a complete target from the image; calculating the difference FG (x, y) between the previous 1 frame and the background frame to obtain the change quantity of the target;
step S105), obtaining an intersection of FD (x, y) and FG (x, y) to obtain a rough moving region image of the moving target;
step S106), the motion area is closed, continuous and complete through mathematical morphological operation, and noise in the background is removed;
step S107), judging whether the vehicle drives away from the shooting area, if so, jumping to step S108; if not, returning to the step S105;
step S108), calculating an entering point position and an exiting point position straight line path for each vehicle entering the shooting area;
step S109), respectively calculating the deviation degree between the vehicle position and the straight line of the entering and leaving points in each frame of image;
step S110), judging whether the number of times of positive deviation and negative deviation of the positions of the vehicle at the same time is three, if so, the vehicle is a suspected drunk driving vehicle; if not, the vehicle is not drunk driving.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (2)
1. The drunk driving behavior early warning method for the expressway based on video analysis is characterized by comprising the following steps of:
step S1), track calculation, namely shooting a passing vehicle, acquiring a running path of the vehicle, carrying out deviation degree feature analysis on driving behaviors of the vehicle on an origin-destination path, judging whether drunk driving behaviors exist in the vehicle, if so, carrying out step S2, and if not, returning to step S1;
step S2), a path monitoring step, namely monitoring the driving path of the suspected drunk driving vehicle, generating driving information of the vehicle and performing suspected alarm;
step S3), a drunk driving judgment step, namely receiving suspected alarm signals, receiving driving information of the vehicle, calling a subsequent camera on a vehicle driving path to continuously shoot the vehicle, confirming again according to the deviation degree characteristic analysis in the step S1, submitting manual analysis after confirmation, and manually confirming whether the vehicle is drunk driven or not, if yes, executing the step S4; if not, stopping tracking the vehicle, and returning to the step S1;
step S4), monitoring and tracking, namely dispatching expressway law enforcement personnel and road administration inspection assistant inspection personnel to monitor the vehicle;
step S5), a violation warning step, namely warning the vehicle to stop drunk driving, enter a service area or leave a highway nearby, and providing early warning information for other drivers nearby the vehicle;
step S6), an information storage step, in which driving information of the vehicle is stored independently;
the track calculation step comprises the following steps:
step S101) selecting a background image from the video image sequence, and establishing a background model through a ViBe algorithm;
step S102), for each vehicle entering a shooting area, performing differential operation on two adjacent frames in a video image sequence by an inter-frame difference method, wherein the previous frame image is pk-1 (x, y), and the current frame image is pk (x, y);
step S103), judging whether a vehicle enters a detection area, if so, jumping to step S104; if not, jumping to step S102;
step S104), calculating the difference FD (x, y) between the current frame and the background frame, and extracting a complete target from the image; calculating the difference FG (x, y) between the previous 1 frame and the background frame to obtain the change quantity of the target;
step S105), obtaining an intersection of FD (x, y) and FG (x, y) to obtain a rough moving region image of the moving target;
step S106), the motion area is closed, continuous and complete through mathematical morphological operation, and noise in the background is removed;
step S107), judging whether the vehicle drives away from the shooting area, if so, jumping to step S108; if not, returning to the step S105;
step S108), calculating an entering point position and an exiting point position straight line path for each vehicle entering the shooting area;
step S109), respectively calculating the deviation degree between the vehicle position and the straight line of the entering and leaving points in each frame of image;
step S110), judging whether the number of times of positive deviation and negative deviation of the positions of the vehicle at the same time is three, if so, the vehicle is a suspected drunk driving vehicle; if not, the vehicle is not drunk driving.
2. The method for pre-warning of drunk driving behavior of a highway based on video analysis according to claim 1, wherein the driving information includes short video of vehicle behavior and close-up photos of vehicles.
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| CN111914707A (en) * | 2020-07-22 | 2020-11-10 | 上海大学 | System and method for detecting drunkenness behavior |
| CN112418000B (en) * | 2020-11-05 | 2024-02-27 | 武汉理工大学 | Bad driving behavior detection method and system based on monocular camera |
| CN112633580A (en) * | 2020-12-28 | 2021-04-09 | 平安国际智慧城市科技股份有限公司 | Drunk driving vehicle early warning method, device, equipment and medium based on artificial intelligence |
| CN112967504A (en) * | 2021-02-26 | 2021-06-15 | 安徽达尔智能控制系统股份有限公司 | Intelligent high-speed management and control method and system based on big data platform |
| CN113870551B (en) * | 2021-08-16 | 2023-07-28 | 清华大学 | Road side monitoring system capable of identifying dangerous and non-dangerous driving behaviors |
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