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Traffic jam detection method based on video processing

A detection method and video processing technology are applied in the field of traffic congestion detection based on video analysis technology, which can solve problems such as unsatisfactory vehicle tracking effect, and achieve the effects of assisting in judging traffic congestion status, improving accuracy, and improving robustness.

Inactive Publication Date: 2013-05-01
崔志明 +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the intensity of the light, the speed of the vehicle and the occlusion of the vehicle make the vehicle tracking effect not ideal.

Method used

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  • Traffic jam detection method based on video processing
  • Traffic jam detection method based on video processing
  • Traffic jam detection method based on video processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Embodiment one: figure 1 It is a flow chart of the traffic jam detection method based on video analysis technology implemented in the present invention, and the data file is a video file containing moving vehicles.

[0040] Step 1: Obtain the background image of the video surveillance area by using the multi-frame image averaging method. Since the increase of the average number of frames will improve the effect of noise elimination, the preferred technical solution is to pre-read 500 consecutive frames of video images for averaging.

[0041] Step 2: Set a virtual detection line perpendicular to the driving direction of the vehicle on the edge of the monitoring area where the vehicle enters and exits in the video image. When the vehicle in the video passes the virtual detection line, the image pixel value at the position of the detection line will change due to the coverage of the vehicle. When the width of the detection line covered by the moving object is greater tha...

Embodiment 2

[0073] Embodiment 2: In order to illustrate the preference of the H, S, and V block parameters of the HSV histogram in Embodiment 1, this example uses the histogram hue H of the HSV color space to be divided into 8 parts, and the saturation S and brightness V are respectively Divide into 3 servings. The video in the first embodiment is selected, and the traffic congestion state is evaluated according to the same specific implementation steps. The recognition rates are: 91.57% in unblocked state, 89.63% in mild congestion state, 87.26% in congestion state, and 89.80% in severe congestion state. Basically, various congestion states can also be identified, but the recognition rate of various congestion states is lower than that of Embodiment 1.

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Abstract

The invention discloses a traffic jam detection method based on a video analysis technology. Based on video segmentation and key frame extraction, traffic jam detection is realized by acquiring three jam characteristic quantities, namely average dissimilarity of a video lens, key frame number and average optical flow field energy and adopting a multi-class support vector machine (SVM) method. By using the new traffic jam detection method provided by the invention, the problem of difficulty in completely or accurately acquiring traffic parameters such as traffic volume, vehicle speed, density and the like in the prior art is avoided, the running locus of a vehicle does not need to be tracked, the result of detecting the traffic jam state is more accurate, and the method can be used for well assisting the traffic department in knowing about the traffic jam state.

Description

technical field [0001] The invention belongs to the field of digital video processing, and in particular relates to a traffic jam detection method based on video analysis technology. Background technique [0002] With the development of social economy and urbanization, the number of motor vehicles has increased rapidly, and the problem of urban traffic congestion has become increasingly serious. Timely and correct identification of road traffic congestion is the premise of taking reasonable traffic congestion warnings and inducing vehicles to make reasonable road assignments to actively avoid traffic congestion. Therefore, the automatic road congestion identification method (ACI) for the purpose of discovering the state of traffic congestion on the road has become one of the important fields in the research of intelligent transportation systems. [0003] At present, video surveillance technology has entered the stage of full digitalization and networking. The expansion of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06K9/00G06K9/62
Inventor 崔志明杨元峰吴健张广铭岳恒军
Owner 崔志明
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