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A New Method on Vehicle Behavior Analysis of Intelligent Transportation Monitoring

In: Liss 2014

Author

Listed:
  • 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)

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.

Suggested Citation

  • Xuan Nie & Zhitong Xiong & Chunlong Liu & Xiaodan Yuan & Yu Bai, 2015. "A New Method on Vehicle Behavior Analysis of Intelligent Transportation Monitoring," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 741-746, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_106
    DOI: 10.1007/978-3-662-43871-8_106
    as

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