Vol.39 No.04

Journal of Xi'an Jiaotong Universtity

Nov.2005

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Moving Vehicle Detection and Tracking Based on Video of Self-Adaptive Contour Matching
Yang Jianguo, Yin Xuquan, Fang Li, Li Jian, Wang Zhao'an
(School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China)


Abstract: To detect and track moving vehicles and achieve the movement trace by image processing in traffic video sequences, a new algorithm based on the fixed template is proposed, where self-adaptive contour matching method is combined with false detection judgment and contour division. The algorithm accurately detects the vehicle contours and avoids the false detection due to two vehicles approached with each other. The self-adaptive contour matching method is once introduced into the moving vehicle detection to ensure a precise tracking results. Compared the computer detecting results with the manual ones, it is concluded that under the certain conditions this algorithm effectively decreases the false detections, and the accuracy reaches to 95.01%, and fewer missed detections can be made up by the interpolation.
Keywords: video; template; vehicle detection