CN108538060A - A kind of intelligence based on vehicle-mounted back vision camera is broken rules and regulations monitoring method and system - Google Patents
A kind of intelligence based on vehicle-mounted back vision camera is broken rules and regulations monitoring method and system Download PDFInfo
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- CN108538060A CN108538060A CN201810328546.8A CN201810328546A CN108538060A CN 108538060 A CN108538060 A CN 108538060A CN 201810328546 A CN201810328546 A CN 201810328546A CN 108538060 A CN108538060 A CN 108538060A
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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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- 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
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
-
- 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
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
Abstract
It the present invention relates to the technical field of automotive electronics, discloses a kind of intelligence based on vehicle-mounted back vision camera and breaks rules and regulations monitoring method, including Step 1: camera is set at the rear seat windscreen of this vehicle, acquire the video of rear car；Step 2: handling the video, identify whether the front car light of the rear car is high beam, if so, extracting the number-plate number of the rear car, and the number-plate number and video is uploaded to the cloud server of traffic police department, if it is not, executing step 3；Step 3: handling the video, judge whether the speed of the rear car exceeds the speed limit, if so, extracting the number-plate number of the rear car, and the number-plate number and video is uploaded to the cloud server of traffic police department, if it is not, executing step 2.The invention also discloses the monitoring systems violating the regulations of the intelligence based on vehicle-mounted back vision camera.The method of the present invention can function well as warning and contain the illegal behavior using dazzle light and hypervelocity, reduce traffic accident.
Description
Technical field
The invention belongs to the technical fields of automotive electronics, and in particular to a kind of intelligence based on vehicle-mounted back vision camera is violating the regulations
Monitoring method and system.
Background technology
With the improvement of living standards, the quantity of motor vehicles is also more and more, every household has vehicle, people substantially
The tool gone on a journey also from modes such as bicycle, walkings, become automobile gradually.The trip of automobile is brought to people’s lives
Prodigious convenience not only saves the time of people, alleviates the burden of people's trip, but the appearance of vehicle but increases friendship
Interpreter thus incidence, the wherein abuse of high beam and to drive over the speed limit be main cause.
High beam meeting can cause people's moment dazzling, extremely hazardous.In face of high beam, vehicle of the driver for oncoming vehicle
Speed and apart from error is generated, is easy to happen maloperation, and the things at high beam rear is difficult to be found to always vehicle.Due to making
It with high beam, just disappears in a flash, many cases are all but the card of high beam to be used when cannot provide other side's meeting by reflection
According to can not determine driver and the license plate number of opponent vehicle.Although Misuse high beam has corresponding penalty clause, due to
It has electronic monitoring, test equipment evidence obtaining, traffic police department to face evidence obtaining to the punishment of this respect violation unlike making a dash across the red light, driving in the wrong direction etc.
Difficult, Difficult Law-enforcement circumstances.
On the other hand, accident and injures and deaths number accounting are huge caused by driving over the speed limit.Driver is in long-time hypervelocity row
It sails on the way, once it is unexpected to happen suddenly on road surface, often has little time to react, to the accident of causing a traffic accident.It drives over the speed limit and directly results in brake
Vehicle distance growth, easily causes and knocks into the back, and the too fast turning centrifugal force that also results in of speed increases, and breaks away, rollover risk increasing, this
Outside, speed is faster, and the reaction time for leaving driver for is shorter, and the visual field is smaller, if there is also super while using high beam
Speed, then be the driving behavior of quite dangerous, it is therefore, particularly important to the monitoring of such driving behavior.
Invention content
The present invention provides a kind of intelligence based on vehicle-mounted back vision camera and breaks rules and regulations monitoring method and system, solves present friendship
Alert department is difficult using the evidence obtaining of high beam to mistake, and law enforcement is difficult, and can not be monitored etc. and ask to hypervelocity behavior simultaneously
Topic.
The present invention can be achieved through the following technical solutions：
A kind of monitoring method violating the regulations of the intelligence based on vehicle-mounted back vision camera, includes the following steps：
Step 1: camera is set at the rear seat windscreen of this vehicle, the video of rear car is acquired；
Step 2: handling the video, identify whether the front car light of the rear car is high beam, if so, extraction
The number-plate number of the rear car, and by the cloud server of the number-plate number and video upload traffic police department, if it is not, executing step
Rapid three；
Step 3: handling the video, judge whether the speed of the rear car exceeds the speed limit, if so, after extraction is described
The number-plate number of vehicle, and by the cloud server of the number-plate number and video upload traffic police department, if it is not, executing step 2.
Further, it includes following step that whether the front car light of the identification rear car in the step 2, which is the method for high beam,
Suddenly：
Step I, the extraction video each frame image highlight regions；
The average gray value of each pixel of step II, the calculating highlight regions, is more than the average gray value
The highlight regions for setting gray value carry out binary conversion treatment；
The white connected region in the highlight regions after binary conversion treatment is normalized in step III, and
Calculate its area；
Step IV compares the area and setting area, if more than setting area, then judges the front truck of the rear car
Lamp is high beam.
Further, the setting gray value is set as 250, and the setting area is set as 40, the highlight regions setting
It is more than 250 region for brightness.
Further, the method that whether speed for judging the rear car in the step 3 exceeds the speed limit includes the following steps：
Step I demarcates the camera, obtains each pixel and actual size in the image of the video
The nonlinear equation of correspondence；
The back edge and rear car of this vehicle in step II, the previous frame image for calculating separately the video and a later frame image
Front end most edge corresponding pixel summation Nf, Nb of minimum range；
Step III integrates the nonlinear equation on section [Nb, Nf], obtains in previous frame image with after
In the shooting time interval of one frame image, move distance of the rear car relative to this vehicle；
Step IV calculates movement velocity of the rear car relative to vehicle, and then calculates the movement velocity of rear car.
Further, the method demarcated to the camera in the step I includes the following steps：
(1), the tail portion of this vehicle is parallel step pastes multiple thin scales；
Step (2), the actual size of the sum of the pixel that calculates each thin scale edge Ni and corresponding each thin scale
The ratio Pi of Li；
(3), using MATLAB softwares step fits the non-thread of each pixel and the correspondence of corresponding actual size
Property equation.
Further, the method for the number-plate number for extracting the rear car in the step 2 and three includes following methods：
Step 1., the camera carry out adpative exposure adjustment, acquisition clearly license plate image；
2., to the license plate image using multilevel binary and RANSAC methods step is fitted, obtain car plate boundary,
Car plate right boundary is being returned using CNN Regression methods；
Step 3., cut and identify character using CNN sliding windows, extract the number-plate number.
A kind of system of the intelligence based on vehicle-mounted back vision camera as described above monitoring method violating the regulations, including processing
Device, the processor are connected with image processing module, velocity sensor and wireless transport module, the wireless transport module and friendship
The cloud server of alert department is connected, and described image processing module is connected with camera, including high beam recognition processing module, survey
Fast processing module and number-plate number extraction process module,
The camera is used to obtain the video of the subsequent rear car of this vehicle；The velocity sensor is for measuring working as this vehicle
Preceding speed；The high beam recognition processing module identifies whether the front car light of rear car is remote for handling the video
Light lamp；The speed measurement treatment module is used to handle the video, obtains the relative velocity of this opposite vehicle of rear car, in conjunction with
The present speed information of this vehicle that velocity sensor measures, obtains the speed of rear car；The number-plate number extraction process module is used
It is handled in the video, obtains the number-plate number of rear car；
The processor is used to receive the velocity information of rear car, judges whether rear car exceeds the speed limit, if so, then passing through wireless transmission
The number-plate number information that module will be received from number-plate number extraction process module, is transferred to the cloud server of traffic police department；
The recognition result for receiving high beam recognition processing module, if so, then will be from number-plate number extraction process by wireless transport module
The number-plate number information that module receives, is transferred to the cloud server of traffic police department.
The present invention is beneficial to be had technical effect that：
The video information that the driving vehicle at this vehicle rear is acquired using camera, in conjunction with the basic gray scale of high beam, brightness
Feature is realized to whether the driving vehicle at rear is accurately judged using high beam by image processing techniques；Meanwhile it is logical
The variation of the driving vehicle relative position at rear and frame per second in the front and back frame image of video information are crossed, the Travel vehicle of rear car is calculated
Actual travel speed, and then judge whether the driving vehicle at rear exceeds the speed limit, there is discovery using high beam and/or hypervelocity row
The violation vehicle sailed extracts its license board information and is transmitted to traffic police group server, so that traffic police retains evidence, can rise well
To alerting and containing the illegal behavior using dazzle light and hypervelocity, traffic accident is decreased, traffic police is improved
Handle the efficiency of traffic accident.
Description of the drawings
Fig. 1 is the overview flow chart of the present invention；
Fig. 2 is the relative position figure of this vehicle of the present invention, camera and rear car；
The locations drawing of the Fig. 3 for rear car in the front and back frame image of the video of the rear car of the present invention with respect to this vehicle；
Fig. 4 is the overall circuit configuration block diagram of the present invention；
Wherein, this vehicle of 1-, 2- cameras, 3- rear cars.
Specific implementation mode
Below in conjunction with the accompanying drawings and the preferred embodiment specific implementation mode that the present invention will be described in detail.
With reference to attached drawing 1, the present invention provides a kind of intelligence based on vehicle-mounted back vision camera monitoring methods violating the regulations, including with
Lower step：
Step 1: camera 2 is set at the rear seat windscreen of this vehicle 1, the video of rear car is acquired, referring to attached drawing 2；
Step 2: handling the video of rear car 3, whether the front car light of identification rear car 3 is high beam, if so, extraction
The number-plate number of rear car 3, and by the cloud server of the number-plate number and video upload traffic police department, if it is not, executing step 3.
Concrete operations are as follows：
Step I, extract video each frame image highlight regions；
The average gray value of each pixel of step II, calculating highlight regions is more than setting gray scale to average gray value
The highlight regions of value carry out binary conversion treatment；
Step III is normalized the white connected region in the highlight regions after binary conversion treatment, and calculates
Its area；
Step IV compares above-mentioned area and setting area, if more than setting area, then judges the front car light of rear car 3
For high beam.
Wherein, according to the brightness change curve of car light spot center to halation, it is repeatedly right that high beam and dipped headlight are carried out
Than experiment, highlight regions may be configured as the region that brightness is more than 250, and setting gray value may be configured as 250, if using resolution ratio
For the camera of 1280*960, setting area may be configured as 40.
Step 3: handling the video of rear car 3, judge whether the speed of rear car 3 exceeds the speed limit, if so, extraction rear car 3
The number-plate number, and by the cloud server of the number-plate number and video upload traffic police department, if it is not, executing step 2.
Concrete operations are as follows：
Step I demarcates camera 2, obtains pair of each pixel and actual size in the image of 3 video of rear car
The nonlinear equation that should be related to；
The back edge of this vehicle 1 and rear car 3 in step II, the previous frame image for calculating separately video and a later frame image
Corresponding pixel summation Nf, Nb of minimum range at front end most edge, referring to attached drawing 3；
Step III integrates above-mentioned nonlinear equation on section [Nb, Nf], obtains in previous frame image with after
In the shooting time interval of one frame image, move distance of the rear car relative to this vehicle；
Step IV calculates movement velocity of the rear car 3 relative to vehicle, and then calculates the movement velocity of rear car.
Wherein, the method demarcated to camera 2 includes the following steps：
(1), the tail portion of this vehicle 1 is parallel step pastes multiple thin scales；
Step (2), the actual size of the sum of the pixel that calculates each thin scale edge Ni and corresponding each thin scale
The ratio Pi of Li；
(3), using MATLAB softwares step fits the non-thread of each pixel and the correspondence of corresponding actual size
Property equation.
The method that the number-plate number of rear car 3 is extracted in above-mentioned steps two and three includes the following steps：
1., to camera 2 step carries out adpative exposure adjustment, acquire clearly license plate image；
2., to above-mentioned license plate image using multilevel binary and RANSAC methods step is fitted, obtain car plate boundary,
Car plate right boundary is being returned using CNN Regression methods；
Step 3., cut and identify character using CNN sliding windows, extract the number-plate number.
With reference to attached drawing 3, the present invention also provides a kind of intelligence based on vehicle-mounted back vision camera as described above is violating the regulations
The system of monitoring method, including processor, the processor and image processing module, velocity sensor and wireless transport module phase
Even, which is connected with traffic police group server, which is connected with camera, including high beam knowledge
Other processing module, speed measurement treatment module and number-plate number extraction process module,
The camera is used to obtain the video of the subsequent rear car of this vehicle；The velocity sensor is used to measure the current speed of this vehicle
Degree；The high beam recognition processing module identifies whether the front car light of rear car is high beam for handling the video；It should
Speed measurement treatment module obtains the relative velocity of this opposite vehicle of rear car, in conjunction with velocity pick-up for handling the video
The present speed information of this vehicle that device measures, obtains the speed of rear car；The number-plate number extraction process module to described for regarding
Frequency is handled, and the number-plate number of rear car is obtained；
The processor is used to receive the velocity information of rear car, judges whether rear car exceeds the speed limit, if so, then by being wirelessly transferred mould
The number-plate number information that block will be received from number-plate number extraction process module is transferred to traffic police group server；Receive distance light
The recognition result of lamp recognition processing module, if so, will then be received from number-plate number extraction process module by wireless transport module
The number-plate number information arrived is transferred to traffic police group server.
The present invention acquires the video information of the driving vehicle at this vehicle rear using camera, in conjunction with the substantially grey of high beam
Degree, brightness are realized to whether the driving vehicle at rear is accurately judged using high beam by image processing techniques；
Meanwhile the variation of the driving vehicle relative position at rear and frame per second in the front and back frame image for passing through video information, calculate rear car
Driving vehicle actual travel speed, and then judge whether the driving vehicle at rear exceeds the speed limit, to discovery have using high beam and/
Or the violation vehicle driven over the speed limit, it extracts its license board information and is transmitted to traffic police group server, it, can so that traffic police retains evidence
It functions well as warning and contains the illegal behavior using dazzle light and hypervelocity, decrease traffic accident, carry
High traffic police handles the efficiency of traffic accident.
Although specific embodiments of the present invention have been described above, it will be appreciated by those of skill in the art that these
It is merely illustrative of, without departing from the principle and essence of the present invention, a variety of changes can be made to these embodiments
It more or changes, therefore, protection scope of the present invention is defined by the appended claims.
Claims (7)
- The monitoring method 1. a kind of intelligence based on vehicle-mounted back vision camera is broken rules and regulations, it is characterised in that include the following steps：Step 1: camera is set at the rear seat windscreen of this vehicle, the video of rear car is acquired；Step 2: handling the video, identify whether the front car light of the rear car is high beam, if so, described in extraction The number-plate number of rear car, and by the cloud server of the number-plate number and video upload traffic police department, if it is not, executing step Three；Step 3: handling the video, judge whether the speed of the rear car exceeds the speed limit, if so, extracting the rear car The number-plate number, and by the cloud server of the number-plate number and video upload traffic police department, if it is not, executing step 2.
- The monitoring method 2. intelligence according to claim 1 based on vehicle-mounted back vision camera is broken rules and regulations, it is characterised in that described Whether the front car light of the identification rear car in step 2 is that the method for high beam includes the following steps：Step I, the extraction video each frame image highlight regions；The average gray value of each pixel of step II, the calculating highlight regions is more than setting to the average gray value The highlight regions of gray value carry out binary conversion treatment；Step III is normalized the white connected region in the highlight regions after binary conversion treatment, and calculates Its area；Step IV compares the area and setting area, if more than setting area, then judges that the front car light of the rear car is High beam.
- The monitoring method 3. intelligence according to claim 2 based on vehicle-mounted back vision camera is broken rules and regulations, it is characterised in that：It is described Setting gray value is set as 250, and the setting area is set as 40, and the highlight regions are set as the region that brightness is more than 250.
- The monitoring method 4. intelligence according to claim 1 based on vehicle-mounted back vision camera is broken rules and regulations, it is characterised in that described The method whether speed for judging the rear car in step 3 exceeds the speed limit includes the following steps：Step I demarcates the camera, and it is corresponding with actual size to obtain each pixel in the image of the video The nonlinear equation of relationship；In step II, the previous frame image for calculating separately the video and a later frame image before the back edge of this vehicle and rear car Hold corresponding pixel summation Nf, Nb of minimum range at most edge；Step III integrates the nonlinear equation on section [Nb, Nf], obtains in previous frame image and a later frame In the shooting time interval of image, move distance of the rear car relative to this vehicle；Step IV calculates movement velocity of the rear car relative to vehicle, and then calculates the movement velocity of rear car.
- The monitoring method 5. intelligence according to claim 1 based on vehicle-mounted back vision camera is broken rules and regulations, it is characterised in that described The method demarcated to the camera in step I includes the following steps：(1), the tail portion of this vehicle is parallel step pastes multiple thin scales；Step is (2), the sum of the pixel that calculates each thin scale edge Ni is with the actual size Li's of corresponding each thin scale Ratio Pi；(3), using MATLAB softwares step fits non-linear side of each pixel with the correspondence of corresponding actual size Formula.
- The monitoring method 6. intelligence according to claim 1 based on vehicle-mounted back vision camera is broken rules and regulations, it is characterised in that described The method that the number-plate number of the rear car is extracted in step 2 and three includes following methods：Step 1., the camera carry out adpative exposure adjustment, acquisition clearly license plate image；2., to the license plate image using multilevel binary and RANSAC methods step is fitted, obtain car plate boundary, adopting Car plate right boundary is returned with CNN Regression methods；Step 3., cut and identify character using CNN sliding windows, extract the number-plate number.
- The system of monitoring method 7. a kind of intelligence as described in claim 1 based on vehicle-mounted back vision camera is broken rules and regulations, feature It is：Including processor, the processor is connected with image processing module, velocity sensor and wireless transport module, the nothing Line transmission module is connected with the cloud server of traffic police department, and described image processing module is connected with camera, including high beam Recognition processing module, speed measurement treatment module and number-plate number extraction process module,The camera is used to obtain the video of the subsequent rear car of this vehicle；The velocity sensor is used to measure the current speed of this vehicle Degree；The high beam recognition processing module identifies whether the front car light of rear car is high beam for handling the video； The speed measurement treatment module obtains the relative velocity of this opposite vehicle of rear car, in conjunction with speed for handling the video The present speed information of this vehicle of sensor measurement, obtains the speed of rear car；The number-plate number extraction process module for pair The video is handled, and the number-plate number of rear car is obtained；The processor is used to receive the velocity information of rear car, judges whether rear car exceeds the speed limit, if so, then passing through wireless transport module The number-plate number information that will be received from number-plate number extraction process module, is transferred to the cloud server of traffic police department；It receives The recognition result of high beam recognition processing module, if so, then will be from number-plate number extraction process module by wireless transport module The number-plate number information received, is transferred to the cloud server of traffic police department.
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| CN109859496A (en) * | 2019-01-25 | 2019-06-07 | 合肥市智信汽车科技有限公司 | A kind of vehicle-mounted removable tests the speed and automatic snapshot system |
| CN110189377A (en) * | 2019-05-14 | 2019-08-30 | 河南省计量科学研究院 | A kind of high precision speed-measuring method based on binocular stereo vision |
| CN110441714A (en) * | 2019-07-31 | 2019-11-12 | Tcl王牌电器(惠州)有限公司 | Detection method, device and the computer readable storage medium of indicator light |
| CN110933185A (en) * | 2019-12-18 | 2020-03-27 | 同望科技股份有限公司 | Engineering vehicle management technology based on Internet of things |
| CN113870561A (en) * | 2021-09-30 | 2021-12-31 | 珠海研果科技有限公司 | Distributed vehicle overspeed detection system and method |
| CN115762178A (en) * | 2023-01-09 | 2023-03-07 | 长讯通信服务有限公司 | Intelligent electronic police violation detection system and method |
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Application publication date: 20180914 |