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.
CN102254428BInactive Publication Date: 2013-05-01崔志明 +3
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
崔志明
Publication Date
2013-05-01
Estimated Expiration
Not applicable · inactive patent

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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.
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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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