CN103208184A - Traffic incident video detection method for highway - Google Patents
Traffic incident video detection method for highway Download PDFInfo
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Abstract
The invention relates to a traffic incident video detection method for a highway. The method comprises the following steps of: 1, acquiring highway video images according to a set step length through video acquisition equipment by using a detection system, and transmitting video signals to a video incident detector; 2, outputting road traffic incidents (comprising parking, queuing, speeding, running in the wrong direction, and the like) and traffic parameters (comprising traffic flow, vehicle speed, vehicle types and the like) by performing processing in three steps by using the video incident detector; and 3, analytically processing the incidents, namely performing incident analytical processing in a way of combining vehicle tracking detection and incident algorithm detection by using the detection system, wherein the vehicle tracking detection is used for analytically processing highway incidents by the road traffic incidents output by the incident detector, the incident algorithm detection is used for analytically processing the highway incidents by the road traffic parameters output by the incident detector, and an accurate detection effect can be achieved by the comprehensive comparison of the vehicle tracking detection and the incident algorithm detection.
Description
Technical field
The present invention relates to a kind of freeway traffic event video detecting method, be specifically related to a kind ofly detect and the combine highway communication event video detecting method of method of event algorithm detection based on vehicle tracking.
Background technology
Traffic events refers to recurrent parking event, drive in the wrong direction event, pedestrian's event, shed event, smog episode, the event of blocking up and some other interrupt normal traffic, cause crowded and incur loss through delay, reduce the special event of road passage capability.The whole world is annual because cap loss, property loss, personal injury that traffic events causes reach multi-billion dollar.Because the frequent generation of traffic events has become a serious social concern in China.
Video traffic event detection technology generally is divided into " Indirect Detecting Method " and " direct detecting method " two big classes.Before a kind of be the existence that comes indirect judgement traffic events according to the variation of traffic flow, this method since the complicacy of data error and traffic conditions cause the time of event detection longer, and be not suitable under the lower situation of the volume of traffic, using.Second method then is the direct video image by collecting, and uses image processing techniques to find the vehicle unusual method of travelling, and also the good detection result can be arranged under the lower situation of the volume of traffic, but can't provide precise information embodiment event on the macroscopic view.
Summary of the invention
The present invention has designed a kind of freeway traffic event video detecting method, the defective that its " Indirect Detecting Method " and " direct detecting method " that has solved existing video traffic event detection exists separately,
In order to solve the technical matters of above-mentioned existence, the present invention has adopted following scheme:
A kind of freeway traffic event video detecting method may further comprise the steps:
Step 1: gather, detection system is gathered the highway video image by video capture device according to setting step-length, and video signal transmission is arrived the Video Events detecting device;
Step 2: the processing output road traffic accident of Video Events detecting device by three steps (comprise parkings, queuing, hypervelocity, retrograde etc.) and traffic parameter (comprising flow, car speed, vehicle classification etc.);
Step 3: event analysis is handled: the mode that detection system adopts vehicle tracking to detect and the detection of event algorithm combines is carried out event analysis and is handled, the road traffic accident that vehicle tracking detects by event detector output comes freeway incident is carried out analyzing and processing, the event algorithm detects by the road traffic parameter of event detector output freeway incident is carried out analyzing and processing, and both detect effect more accurately to reach at comprehensive contrast.
Further, three steps comprise video enhancing, video analysis and video understanding in the step 2; Wherein, video strengthens: video image is carried out noise estimate, and reduce in the video because the The noise that extraneous factor and human factor cause, for the video analysis layer provides high-quality video image, thereby improve Video processing result's reliability; Video analysis: detect by moving target, video analysis algorithms such as estimation and target following extract the space-time characteristics of objects in video bottom and middle level, for the event recognition in the high-rise Video processing provides the deduction foundation; Video is understood: finish identification to the monitor video event by the space-time object low-level image feature of analyzing and understand the video analysis layer and provide; Processing output road traffic accident by three steps (comprise parkings, queuing, exceed the speed limit and retrograde etc.) and traffic parameter (comprising flow, car speed and vehicle classification etc.).
Further, pass through in the step 3 to delimit the user's interest zone, and surveyed area is described (such as track, place traffic direction, whether turning etc.), analyze running status, the turning situation of vehicle; Utilize background subtraction, inter-frame difference and the frame interpolation moving object detection method of grading to detect the automobile storage of user's area-of-interest in situation; Utilize the auto model matching method to give vehicle classification; Utilize target object tracking, syntactic analysis and various forms of filtering and prediction estimation method to follow the tracks of vehicle, analyze the ruuning situation of estimation vehicle etc., utilize these information, can further analyze traffic density, queue length information.
Further, whether the change amount of the translational speed by detecting vehicle is higher than a certain threshold value, or judges whether its speed is lower than a certain particular value and judges whether it event has taken place.
Further, the calculating of video capture device setting angle in the step 1:
If the video camera setting height(from bottom) is H, its angle of view degree is α, and it is β that the elevation angle (video camera and vertical direction angle) is installed, and with the angle of road surface direction on vertical plane is
, α and β be surplus (β+α=90 °) mutually.With the angle of road surface direction on surface level be γ, width of roadway is W, S be ask angle, A is horizontal range; It is L that video monitoring requires detected link length, and the relation between these physical quantitys satisfies following formula:
Wherein: a=-htan α, b=-Ltan α, c=L-htan α;
Calculating the video camera elevation angle discusses in two kinds of situation:
(1) works as the angle of view
During more than or equal to A, video camera elevation angle β is:
2) work as the angle of view
During less than A, video camera elevation angle β is:
In a word, after calculating the video camera elevation angle, with the angle of road surface direction on vertical plane be:
For example: suppose field angle
=50 °
Through installing, debugging draws, and is 65 ° at video camera elevation angle β, when being 3.2 ° with angular separation, road surface γ, detects effective at the scene.
Further, the Video Events detecting device is to adopt motion detection, and image is handled, and realizes in target identification and the target following in working order that road traffic accident detects and the equipment of part DETECTION OF TRAFFIC PARAMETERS; The Video Events detecting device detects content for to handle and to analyze collecting the highway video image.
This freeway traffic event video detecting method has following beneficial effect:
The present invention handles and analyzes gathering the highway video image that comes in conjunction with the advantage of alert event and traffic parameter, judges highway communication event and warning in time by specific algorithm, can come the accurate recognition traffic events according to the image that collects.
Description of drawings
Fig. 1: the overall flow synoptic diagram of freeway traffic event video detecting method of the present invention;
Fig. 2: the principle schematic of Video Events detecting device of the present invention.
Embodiment
Below in conjunction with Fig. 1 and Fig. 2, the present invention will be further described:
Fig. 1 at first detection system gathers the highway video image by video equipment according to setting step-length, and video signal transmission is arrived the Video Events detecting device; Secondly the processing output road traffic accident of Video Events detecting device by three steps (comprise parking, queuing, hypervelocity, retrograde etc.) and traffic parameter (comprising flow, car speed, vehicle classification etc.); For the type that makes the detection event is wider, precision is higher at last, and system adopts vehicle tracking to detect and the event algorithm detects the method that combines.The road traffic accident that vehicle tracking detects by event detector output comes freeway incident is carried out analyzing and processing, and the event algorithm detects by the road traffic parameter of event detector output freeway incident is carried out analyzing and processing.Both detect effect more accurately to reach at comprehensive contrast.
The algorithm that event automatically detects: by delimiting the user's interest zone, and surveyed area is described (such as track, place traffic direction, whether turning etc.), analyzes running status, the turning situation of vehicle; Utilize background subtraction, inter-frame difference and the frame interpolation moving object detection method of grading to detect the automobile storage of user's area-of-interest in situation; Utilize the auto model matching method to give vehicle classification; Utilize target object tracking, syntactic analysis and various forms of filtering and prediction estimation method to follow the tracks of vehicle, analyze the ruuning situation of estimation vehicle etc.Utilize these information, can further analyze information such as traffic density, queue length.
For the traffic monitoring video image, when vehicle generation event, such as cast anchor, during situation such as collision, its movement velocity will take place obviously to change or be reduced to zero rapidly.Therefore, whether the change amount of translational speed that can be by detecting vehicle is higher than a certain threshold value, or judges whether its speed is lower than a certain particular value and judges whether it event has taken place.
Fig. 2 Video Events detecting device is to adopt motion detection, and image is handled, and a series of technology such as target identification are middle in working order to realize that road traffic accident detects and the equipment of part DETECTION OF TRAFFIC PARAMETERS.Comprise video enhancing, video analysis and video understanding.
Video strengthens: video image is carried out noise estimate, and reduce in the video because the The noise that extraneous factor and human factor cause, for the video analysis layer provides high-quality video image, thereby improve Video processing result's reliability.
Video analysis: detect by moving target, video analysis algorithms such as estimation and target following extract the space-time characteristics of objects in video bottom and middle level, for the event recognition in the high-rise Video processing provides the deduction foundation.
Video is understood: finish identification to the monitor video event by the space-time object low-level image feature of analyzing and understand the video analysis layer and provide.
The calculating of video capture device setting angle:
If the video camera setting height(from bottom) is H, its angle of view degree is α, and it is β that the elevation angle (video camera and vertical direction angle) is installed, and with the angle of road surface direction on vertical plane is
, α and β be surplus (β+α=90 °) mutually.With the angle of road surface direction on surface level be γ, width of roadway is W, it is L that video monitoring requires detected link length, the relation between these physical quantitys satisfies following formula:
Wherein: a=-htan α, b=-Ltan α, c=L-htan α;
Calculating the video camera elevation angle discusses in two kinds of situation:
(1) works as the angle of view
During more than or equal to A, video camera elevation angle β is:
(2) work as the angle of view
During less than A, video camera elevation angle β is:
In a word, after calculating the video camera elevation angle, with the angle of road surface direction on vertical plane be:
For example: suppose field angle
=50 °
Through installing, debugging draws, and is 65 ° at video camera elevation angle β at the scene, and when being 3.2 ° with angular separation, road surface γ, it is relatively good to detect effect.
By reference to the accompanying drawings the present invention has been carried out exemplary description above; obvious realization of the present invention is not subjected to the restriction of aforesaid way; as long as the various improvement of having adopted method design of the present invention and technical scheme to carry out; or without improving design of the present invention and technical scheme are directly applied to other occasion, all in protection scope of the present invention.
Claims (5)
1. freeway traffic event video detecting method may further comprise the steps: step 1: gather, detection system is gathered the highway video image by video capture device according to setting step-length, and video signal transmission to the Video Events detecting device; Step 2: the processing output road traffic accident of Video Events detecting device by three steps (comprise parkings, queuing, hypervelocity, retrograde etc.) and traffic parameter (comprising flow, car speed, vehicle classification etc.); Step 3: event analysis is handled: the mode that detection system adopts vehicle tracking to detect and the detection of event algorithm combines is carried out event analysis and is handled, the road traffic accident that vehicle tracking detects by event detector output comes freeway incident is carried out analyzing and processing, the event algorithm detects by the road traffic parameter of event detector output freeway incident is carried out analyzing and processing, and both detect effect more accurately to reach at comprehensive contrast.
2. according to the described freeway traffic event video detecting method of claim 1, it is characterized in that: three steps comprise video enhancing, video analysis and video understanding in the step 2; Wherein, video strengthens: video image is carried out noise estimate, and reduce in the video because the The noise that extraneous factor and human factor cause, for the video analysis layer provides high-quality video image, thereby improve Video processing result's reliability; Video analysis: detect by moving target, video analysis algorithms such as estimation and target following extract the space-time characteristics of objects in video bottom and middle level, for the event recognition in the high-rise Video processing provides the deduction foundation; Video is understood: finish identification to the monitor video event by the space-time object low-level image feature of analyzing and understand the video analysis layer and provide; Processing output road traffic accident by three steps (comprise parkings, queuing, exceed the speed limit and retrograde etc.) and traffic parameter (comprising flow, car speed and vehicle classification etc.).
3. according to the described freeway traffic event video detecting method of claim 1, it is characterized in that: pass through to delimit the user's interest zone in the step 3, and surveyed area is described (such as track, place traffic direction, whether turning etc.), analyze running status, the turning situation of vehicle; Utilize background subtraction, inter-frame difference and the frame interpolation moving object detection method of grading to detect the automobile storage of user's area-of-interest in situation; Utilize the auto model matching method to give vehicle classification; Utilize target object tracking, syntactic analysis and various forms of filtering and prediction estimation method to follow the tracks of vehicle, analyze the ruuning situation of estimation vehicle etc., utilize these information, can further analyze traffic density, queue length information.
4. according to the described freeway traffic event video detecting method of claim 1, it is characterized in that: whether the change amount of the translational speed by detecting vehicle is higher than a certain threshold value, or judges whether its speed is lower than a certain particular value and judges whether it event has taken place.
5. according to the described freeway traffic event video detecting method of claim 1, it is characterized in that: the calculating of video capture device setting angle in the step 1:
If the video camera setting height(from bottom) is H, its angle of view degree is α, and it is β that the elevation angle (video camera and vertical direction angle) is installed, and with the angle of road surface direction on vertical plane is
, α and β be surplus (β+α=90 °) mutually; With the angle of road surface direction on surface level be γ, width of roadway is W, it is L that video monitoring requires detected link length, the relation between these physical quantitys satisfies following formula:
S be ask angle, A is horizontal range;
Wherein: a=-htan α, b=-Ltan α, c=L-htan α;
Calculating the video camera elevation angle discusses in two kinds of situation:
(1) works as the angle of view
During more than or equal to A, video camera elevation angle β is:
(2) work as the angle of view
During less than A, video camera elevation angle β is:
In a word, after calculating the video camera elevation angle, with the angle of road surface direction on vertical plane be:
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Cited By (13)
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| CN102945603A (en) * | 2012-10-26 | 2013-02-27 | 青岛海信网络科技股份有限公司 | Method for detecting traffic event and electronic police device |
| CN103747189A (en) * | 2013-11-27 | 2014-04-23 | 杨新锋 | Digital image processing method |
| CN104732237A (en) * | 2015-03-23 | 2015-06-24 | 江苏大学 | Method for identifying false traffic information in internet of vehicles |
| CN105518760A (en) * | 2013-09-06 | 2016-04-20 | 罗伯特·博世有限公司 | Method and traffic monitoring unit for establishing that a motor vehicle is driving in the wrong direction |
| CN105608902A (en) * | 2016-03-28 | 2016-05-25 | 辽宁省交通科学研究院 | Expressway black spot identification system and method |
| CN105787858A (en) * | 2016-03-29 | 2016-07-20 | 交通运输部公路科学研究所 | Situation deduction method for expressway network |
| CN105869413A (en) * | 2016-06-23 | 2016-08-17 | 常州海蓝利科物联网技术有限公司 | Method for measuring traffic flow and speed based on camera video |
| CN106022249A (en) * | 2016-05-16 | 2016-10-12 | 乐视控股（北京）有限公司 | Dynamic object identification method, device and system |
| CN107707931A (en) * | 2016-08-08 | 2018-02-16 | 阿里巴巴集团控股有限公司 | Generated according to video data and explain data, data synthesis method and device, electronic equipment |
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| CN113538892A (en) * | 2020-04-20 | 2021-10-22 | 宇龙计算机通信科技(深圳)有限公司 | Traffic violation event processing method and device, storage medium and AR glasses |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102945603A (en) * | 2012-10-26 | 2013-02-27 | 青岛海信网络科技股份有限公司 | Method for detecting traffic event and electronic police device |
| CN105518760A (en) * | 2013-09-06 | 2016-04-20 | 罗伯特·博世有限公司 | Method and traffic monitoring unit for establishing that a motor vehicle is driving in the wrong direction |
| US9836967B2 (en) | 2013-09-06 | 2017-12-05 | Robert Bosch Gmbh | Method and traffic monitoring device for detecting a wrong-way driving incident of a motor vehicle |
| CN103747189A (en) * | 2013-11-27 | 2014-04-23 | 杨新锋 | Digital image processing method |
| CN104732237A (en) * | 2015-03-23 | 2015-06-24 | 江苏大学 | Method for identifying false traffic information in internet of vehicles |
| CN104732237B (en) * | 2015-03-23 | 2017-10-27 | 江苏大学 | The recognition methods of false transport information in a kind of car networking |
| CN105608902B (en) * | 2016-03-28 | 2017-10-03 | 辽宁省交通科学研究院 | A kind of expressway traffic accident Multiple trauma identification system and method |
| CN105608902A (en) * | 2016-03-28 | 2016-05-25 | 辽宁省交通科学研究院 | Expressway black spot identification system and method |
| CN105787858A (en) * | 2016-03-29 | 2016-07-20 | 交通运输部公路科学研究所 | Situation deduction method for expressway network |
| CN105787858B (en) * | 2016-03-29 | 2020-05-15 | 交通运输部公路科学研究所 | Expressway network situation deduction method |
| CN106022249A (en) * | 2016-05-16 | 2016-10-12 | 乐视控股（北京）有限公司 | Dynamic object identification method, device and system |
| CN105869413A (en) * | 2016-06-23 | 2016-08-17 | 常州海蓝利科物联网技术有限公司 | Method for measuring traffic flow and speed based on camera video |
| CN107707931A (en) * | 2016-08-08 | 2018-02-16 | 阿里巴巴集团控股有限公司 | Generated according to video data and explain data, data synthesis method and device, electronic equipment |
| CN110610118A (en) * | 2018-06-15 | 2019-12-24 | 杭州海康威视数字技术股份有限公司 | Traffic parameter acquisition method and device |
| CN109543598A (en) * | 2018-11-20 | 2019-03-29 | 哈尔滨工程大学 | A kind of highway accident response and warning system and method based on image recognition |
| CN113538892A (en) * | 2020-04-20 | 2021-10-22 | 宇龙计算机通信科技(深圳)有限公司 | Traffic violation event processing method and device, storage medium and AR glasses |
| CN111608102A (en) * | 2020-04-23 | 2020-09-01 | 哈尔滨工业大学 | Grading early warning method for highway traffic incident |
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