Chapter
Apr 26, 2012

Pest Analysis of Traffic Peccancy Forensics Service in China

Abstract

Jaywalk is the most common urban traffic violation, so an intelligent jaywalker detection method is presented in this paper. The method analyses and detects jaywalker's abnormal behavior against traffic rules. Firstly, the motion object is segmented based on the background difference method, and pedestrian is recognized from vehicle according the height-width ratio. Secondly, the pedestrian's motion path is obtained through the linear predictive tracking algorithm. Then the pedestrian motion path is simplified to the line set through linear fitting, and the motion direction is calculated. Finally, the jaywalker is detected according the angle between the pedestrian's motion direction and road direction. The experiment shows that the method can detect the jaywalker effectively in short time, and it is suitable to use in real time monitoring.

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Published In

Go to ICTE 2011
ICTE 2011
Pages: 2933 - 2939

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Published online: Apr 26, 2012

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Research Center of Intelligent Transportation System, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou 510275.E-mail: [email protected]
Research Center of Intelligent Transportation System, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou 510275.E-mail: [email protected]
Youting Zhao
Research Center of Intelligent Transportation System, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou 510275.

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