A New Method on Vehicle Behavior Analysis of Intelligent Transportation Monitoring

Xuan Nie (xnie@nwpu.edu.cn), Zhitong Xiong (1032326732@qq.com), Chunlong Liu (172417491@qq.com), Xiaodan Yuan (yuanxiao05@qq.com) and Yu Bai (790162280@qq.com)
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Xuan Nie: Northwestern Polytechnical University
Zhitong Xiong: Northwestern Polytechnical University
Chunlong Liu: Northwestern Polytechnical University
Xiaodan Yuan: Northwestern Polytechnical University
Yu Bai: Northwestern Polytechnical University

A chapter in LISS 2014, 2015, pp 741-746 from Springer

Abstract: Abstract This paper proposes a new method on the vehicle behavior analysis. Firstly, complete vehicle object detection based from the background of road and achieve object tracking by the Cam-Shift algorithm, and then get the target trajectory of the vehicle. According to the basic behavior of vehicle trajectory features and speed features based on the analysis of the vehicle trajectory, we propose a method for extracting vehicle trajectory features and obtaining the motion feature vector. Finally, the improved voting strategy in the SVM algorithm is proposed to recognize the vehicle movement behavior. Experimental results show that the proposed method could complete the target vehicle behavior analysis, which functions more quickly and accurately compared with existing behavior-based vehicle trajectory analysis.

Keywords: Behavior analysis; Cam-shift; Trajectory feature representation; SVM (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_106

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DOI: 10.1007/978-3-662-43871-8_106

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