CN109887303A - Random change lane behavior early warning system and method - Google Patents

Random change lane behavior early warning system and method Download PDF

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Publication number
CN109887303A
CN109887303A CN201910312021.XA CN201910312021A CN109887303A CN 109887303 A CN109887303 A CN 109887303A CN 201910312021 A CN201910312021 A CN 201910312021A CN 109887303 A CN109887303 A CN 109887303A
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vehicle
early warning
traffic
image
information
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CN109887303B (en
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刘海英
周娟婷
邓丽霞
张慧
郭俊美
周慧媛
陈华康
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Qilu University of Technology
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Qilu University of Technology
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Abstract

Present disclose provides a kind of random change lane behavior early warning system and methods, monitoring video flow is obtained, using the traffic that no vehicle passes through as former frame image, the image for vehicle occur is current frame image, two field pictures carry out image difference operation, obtain vehicle location and trace information;According to the motion profile of vehicle and lane line and road surface track direction is combined to carry out analysis vehicle movement information, if the lateral displacement variation in vehicle movement information is more than given threshold, carries out early warning, and violation evidence obtaining is carried out to vehicle according to information of vehicles.

Description

Random change lane behavior early warning system and method
Technical field
This disclosure relates to a kind of random change lane behavior early warning system and method.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill Art.
With the increasing living standards of the people, the ownership of national vehicle persistently rises, and vehicle traffic accident occurs Frequency is constantly promoted also with it.In order to guarantee people's safety problem, the Chinese government has paid greatly in traffic monitoring management aspect The manpower and material resources of amount, but the traffic accident as caused by vehicle violation behavior still constantly occurs.And some complicated or High flow capacity section, as the random change lane of vehicle act of violating regulations and caused by traffic accident repeated.
Understand according to inventor, existing vehicle violation intelligent checking system sensitivity is low in technology at present, can not be to vehicle The act of violating regulations of random change lane carry out detection promptly and accurately.
Summary of the invention
The disclosure to solve the above-mentioned problems, proposes a kind of random change lane behavior early warning system and method, this public affairs It opens according to intelligent video analysis technology, the image information acquired in Traffic Surveillance Video is analyzed in real time, according to vehicle The trace analysis and combination lane line and road surface lane information of motion profile, quickly catch the behavior of the random change lane of vehicle It catches, provides timely and effective information to traffic control center, and pass through the communication of traffic control center and vehicle on-board equipment Connection feeds back current information to car owner in time, forms the common acquisition of two-sided information.
According to some embodiments, the disclosure is adopted the following technical scheme that
A kind of random change lane behavior method for early warning, comprising the following steps:
Monitoring video flow is obtained, using the traffic that no vehicle passes through as former frame image, the image for vehicle occur is Current frame image, two field pictures carry out image difference operation, obtain vehicle location and trace information;
According to the motion profile of vehicle and lane line and road surface track direction is combined to carry out analysis vehicle movement information, if vehicle Lateral displacement variation in motion information is more than given threshold, then carries out early warning, and is carried out to vehicle according to information of vehicles separated Rule evidence obtaining.
The disclosure is based on the characteristics of random change lane behavior, extracts lateral displacement variation characteristic of the vehicle in lane, By given threshold, early warning and the record of the random change lane behavior of vehicle are carried out, ensure that the accuracy of information, and after combination The continuous punishment measure that may exist, can further prevent random change lane behavior.
It is limited as further, after obtaining monitoring video flow, framing is carried out to video image, when analyzing a certain frame When image is broken rules and regulations, then image is subjected to specification handles and is collected evidence.
This may save the candid photograph links of tradition monitoring, and then save system operations reacting treatment time.
It is limited as further, the moving vehicle detection that the calculus of finite differences based on VI BE algorithm background modeling carries out, not have The traffic for having vehicle to pass through is as former frame image, and the image for vehicle occur is current frame image, and two field pictures carry out image Calculus of differences carries out binarization of gray value calculation process.
It is limited as further, judging that vehicle movement track changes with the presence or absence of lateral displacement is more than first threshold, such as Fruit is more than, then according to the pavement marker information of traffic and the direction of vehicle movement, both determine whether with prescribed direction one It causes, if unanimously, then it is assumed that without random lane change, if it is inconsistent, thinking that there are random lane change risks.Can to vehicle into Row early warning.
It is limited as further, judging that vehicle movement track changes with the presence or absence of lateral displacement is more than second threshold, such as Fruit is more than, then it is assumed that has occurred and that random lane change behavior.Early warning can be carried out to vehicle.
Second threshold is greater than first threshold.
It is limited as further, the information of vehicles includes but are not limited to vehicle model, license plate number and vehicle drive Card.
A kind of random change lane behavior early warning system, including traffic video image acquisition system, traffic control center and Car-mounted terminal, the traffic video image acquisition system are configured as obtaining the monitor video of each traffic intersection picture pick-up device acquisition Stream;
The traffic control center is configured as communicating with traffic video image acquisition system and each car-mounted terminal, not have The traffic for having vehicle to pass through is as former frame image, and the image for vehicle occur is current frame image, and two field pictures carry out image Calculus of differences obtains vehicle location and trace information;
According to the motion profile of vehicle and lane line and road surface track direction is combined to carry out analysis vehicle movement information, if vehicle Lateral displacement variation in motion information is more than first threshold, then carries out early warning, send a warning message to car-mounted terminal;
If the lateral displacement variation in vehicle movement information is more than first threshold, warning message is sent to car-mounted terminal, And violation evidence obtaining is carried out to vehicle.
The car-mounted terminal includes output module, and the output module can export at least two different information.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device Reason device loads and executes a kind of random change lane behavior method for early warning.
A kind of terminal device, including processor and computer readable storage medium, processor is for realizing each instruction;It calculates Machine readable storage medium storing program for executing is suitable for being loaded by processor and being executed described one kind and arbitrarily becomes for storing a plurality of instruction, described instruction More lane behavior method for early warning.
Compared with prior art, the disclosure has the beneficial effect that
The disclosure analyzes the image information acquired in Traffic Surveillance Video in real time, according to vehicle movement track Trace analysis and combination lane line and road surface lane information, quickly capture the behavior of the random change lane of vehicle, give traffic Control centre provides timely and effective information, and passes through the communication connection of traffic control center and vehicle on-board equipment, in time Current information is fed back to car owner, the monitor and detection to the random change lane of vehicle is strengthened, is effectively reduced by early warning and warning Traffic accident.
Detailed description of the invention
The Figure of description for constituting a part of this disclosure is used to provide further understanding of the disclosure, and the disclosure is shown Meaning property embodiment and its explanation do not constitute the improper restriction to the disclosure for explaining the disclosure.
Fig. 1 is the schematic block diagram of early warning system.
Fig. 2 is the implementation flow chart of method for early warning.
Specific embodiment:
The disclosure is described further with embodiment with reference to the accompanying drawing.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the disclosure.Unless another It indicates, all technical and scientific terms used herein has usual with disclosure person of an ordinary skill in the technical field The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root According to the illustrative embodiments of the disclosure.As used herein, unless the context clearly indicates otherwise, otherwise singular Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
As shown in Figure 1, the prewarning monitoring system of this random change lane of vehicle, includes traffic video image acquisition system System, intelligent video analysis system and traffic control center and mobile unit.
Traffic video image acquisition system is configured as obtaining the monitoring video flow of each traffic intersection picture pick-up device acquisition;
The traffic control center is configured as communicating with traffic video image acquisition system and each car-mounted terminal, not have The traffic for having vehicle to pass through is as former frame image, and the image for vehicle occur is current frame image, and two field pictures carry out image Calculus of differences obtains vehicle location and trace information;
According to the motion profile of vehicle and lane line and road surface track direction is combined to carry out analysis vehicle movement information, if vehicle Lateral displacement variation in motion information is more than first threshold, then carries out early warning, send a warning message to car-mounted terminal;
If the lateral displacement variation in vehicle movement information is more than first threshold, warning message is sent to car-mounted terminal, And violation evidence obtaining is carried out to vehicle.
Car-mounted terminal includes output module, and the output module can export at least two different information.In the present embodiment In, output module is display lamp, can issue feux rouges and yellow light.
Fig. 2 is the implementation process diagram of the random altering system of vehicle, is included the following steps.
Step 1: vehicle reaches special traffic monitoring area, mobile unit and traffic surveillance and control center, which are established, to be communicated to connect.
Step 2: providing Traffic Surveillance Video stream to intelligent video analysis system;
Step 3: carrying out tracing of the movement to moving vehicle detection is carried out in traffic monitoring, and to vehicle;
Step 4: according to motion profile and lane line and road surface track direction is combined to carry out analysis vehicle movement information, root According to the threshold value of setting, the mobile unit amber light early warning when vehicle will break rules and regulations confirms rear red light warning violating the regulations.
Step 5: carrying out violation evidence obtaining to vehicle according to the information of vehicles that mobile unit provides.
After vehicle reaches specific traffic monitoring region, mobile unit establishes a communications link with traffic surveillance and control center, traffic Center obtains specific information of vehicles by mobile unit, and information of vehicles includes but are not limited to vehicle model, license plate number, vehicle Driver's license etc..
The monitoring area of vehicle exterior traffic video acquisition system, mobile unit and the traffic control center of vehicle set up It writes to each other.Traffic video acquisition system is to use to automatically save evidence-obtaining system based on video flowing, the video figure of monitoring As passing to intelligent video analysis system in the form of one by one, when the image for analyzing a certain frame is violating the regulations, then by image It carries out specification handles and collects evidence, save the candid photograph link of tradition monitoring, and then save system operations reacting treatment time.
It is real-time that the Traffic Surveillance Video of intelligent video analysis system is transmitted in second step, and based on video flowing Automatically save evidence-obtaining system.
In the third step, intelligent video analysis system is the movement that the calculus of finite differences based on VI BE algorithm background modeling carries out Vehicle detection, using the traffic that no vehicle passes through as former frame image, the image for vehicle occur is current frame image, two frames Image carries out image difference operation, carries out binarization of gray value calculation process, quickly obtains accurately and effectively vehicle location and rail Mark information.
According to the motion detection to vehicle, it is related that vehicle location and the direction of motion profile and changes in coordinates etc. can be obtained Information.When carrying out vehicle violation lane change turning detection, in conjunction with lane traffic direction information analysis in real traffic monitoring scene, Differentiated by affiliated lane position related direction directional information and the lane regulation driving direction.
Intelligent video analysis system judges that vehicle movement track whether there is lateral larger displacement variation, and according to traffic road The pavement marker information and the direction of vehicle movement in face determine whether the two is consistent with prescribed direction.If be laterally subjected to displacement, The direction of displacement is judged again, two threshold values are set in advance when carrying out operation and calculating, and one is that warning will random change lane Threshold value, one is the threshold value for having occurred and that random change lane act of violating regulations.
According to motion profile and lane line and road surface track direction is combined to judge that vehicle behavior is with several according to track of vehicle What walking direction, according to the threshold value being set in advance, determine whether vehicle returns back out the behavior of now random change lane, makes in advance Warning.If vehicle, in the act of violating regulations for having had random change lane, mobile unit, which will also make warning, to shift to an earlier date, car owner is reminded to keep away Exempt from because the random change lane of vehicle leads to traffic accident.
Specifically, changing if meeting lane lateral displacement, and the motion profile for tracking vehicle has arrived at first threshold Value, even if intelligent video analysis system feeds back information to traffic surveillance and control center, traffic monitoring department according to mobile unit It writes to each other, sudden strain of a muscle amber light, which is given, on mobile unit alerts;If because speed is too fast or car owner reacted leads to vehicle vehicle slowly Motion profile when having arrived at second threshold value, mobile unit gives red light and the prompting that pipes, and avoids because of random change vehicle The act of violating regulations in road leads to other traffic accidents.
In monitoring system, after detecting that vehicle has act of violating regulations, traffic control center according to mobile unit Between write to each other, obtain real-time information of vehicles, information of vehicles includes but are not limited to vehicle model, license plate number, vehicle Driver's license etc., traffic control center can carry out evidence obtaining preservation to corresponding violation vehicle.
Video image acquisition equipment carries out real-time Data Transmission with traffic control center and intelligent video analysis system simultaneously, Intelligent video analysis system captures the vehicle of change lane random in video image in real time, and Jiao Kong department center is to violating the regulations Automobile video frequency image carry out real-time storage.
It should be understood by those skilled in the art that, embodiment of the disclosure can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the disclosure Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the disclosure, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The disclosure is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present disclosure Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
The foregoing is merely preferred embodiment of the present disclosure, are not limited to the disclosure, for the skill of this field For art personnel, the disclosure can have various modifications and variations.It is all within the spirit and principle of the disclosure, it is made any to repair Change, equivalent replacement, improvement etc., should be included within the protection scope of the disclosure.
Although above-mentioned be described in conjunction with specific embodiment of the attached drawing to the disclosure, model not is protected to the disclosure The limitation enclosed, those skilled in the art should understand that, on the basis of the technical solution of the disclosure, those skilled in the art are not Need to make the creative labor the various modifications or changes that can be made still within the protection scope of the disclosure.

Claims (10)

1. a kind of random change lane behavior method for early warning, it is characterized in that: the following steps are included:
Monitoring video flow is obtained, using the traffic that no vehicle passes through as former frame image, it is current for the image of vehicle occur Frame image, two field pictures carry out image difference operation, obtain vehicle location and trace information;
According to the motion profile of vehicle and lane line and road surface track direction is combined to carry out analysis vehicle movement information, if vehicle is transported Lateral displacement variation in dynamic information is more than given threshold, then carries out early warning, and take in violation of rules and regulations to vehicle according to information of vehicles Card.
2. a kind of random change lane behavior method for early warning as described in claim 1, it is characterized in that: obtaining monitoring video flow Afterwards, framing is carried out to video image, when the image for analyzing a certain frame is violating the regulations, then image is subjected to specification handles and is collected evidence.
3. a kind of random change lane behavior method for early warning as described in claim 1, it is characterized in that: being based on VIBE algorithm background There is vehicle using the traffic that no vehicle passes through as former frame image in the moving vehicle detection that the calculus of finite differences of modeling carries out Image be current frame image, two field pictures carry out image difference operation, carry out binarization of gray value calculation process.
4. a kind of random change lane behavior method for early warning as described in claim 1, it is characterized in that: judging vehicle movement track It is more than first threshold with the presence or absence of lateral displacement variation, if it does, then according to the pavement marker information of traffic and the vehicle The direction of motion, both determine it is whether consistent with prescribed direction, if unanimously, then it is assumed that without random lane change, if inconsistent, Then think that there are random lane change risks.Early warning can be carried out to vehicle.
5. a kind of random change lane behavior method for early warning as claimed in claim 4, it is characterized in that: judging vehicle movement track It is more than second threshold with the presence or absence of lateral displacement variation, if it exceeds, then it is assumed that have occurred and that random lane change behavior.
6. a kind of random change lane behavior method for early warning as claimed in claim 5, it is characterized in that: second threshold is greater than first Threshold value.
7. a kind of random change lane behavior method for early warning as described in claim 1, it is characterized in that: the information of vehicles includes But it is not limited only to vehicle model, license plate number and vehicle drive card.
8. a kind of random change lane behavior early warning system, it is characterized in that: including traffic video image acquisition system, traffic control Center and car-mounted terminal, the traffic video image acquisition system are configured as obtaining the prison of each traffic intersection picture pick-up device acquisition Control video flowing;
The traffic control center is configured as communicating with traffic video image acquisition system and each car-mounted terminal, with no vehicle The traffic passed through is as former frame image, and the image for vehicle occur is current frame image, and two field pictures carry out image difference Operation obtains vehicle location and trace information;
According to the motion profile of vehicle and lane line and road surface track direction is combined to carry out analysis vehicle movement information, if vehicle is transported Lateral displacement variation in dynamic information is more than first threshold, then carries out early warning, send a warning message to car-mounted terminal;
If the lateral displacement variation in vehicle movement information is more than first threshold, warning message is sent to car-mounted terminal, and right Vehicle carries out violation evidence obtaining;
Or, the car-mounted terminal includes output module, the output module can export at least two different information.
9. a kind of computer readable storage medium, it is characterized in that: being wherein stored with a plurality of instruction, described instruction is suitable for being set by terminal Standby processor load and perform claim requires a kind of random change lane behavior method for early warning described in any one of 1-7.
10. a kind of terminal device, it is characterized in that: including processor and computer readable storage medium, processor is for realizing each Instruction;Computer readable storage medium is for storing a plurality of instruction, and described instruction is suitable for by processor load and perform claim is wanted Seek a kind of random change lane behavior method for early warning described in any one of 1-7.
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