To detect moving objects from a video sequence is a fundamental and critical task in many computer vision applications. For China high-speed railway transport hub video surveillance system, we need a stable, fast and accurate moving object detection method to promptly find the congestion of passenger flow and other dangerous in hub. Through the comparative study on moving object detection, we find the average/median filtering is the most appropriate method for China high-speed railway transport hub video surveillance.


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    Title :

    Comparative Study on Moving Object Detection Method of Video Surveillance System in China High-Speed Railway Transport Hub


    Contributors:
    Xie, Zheng-Yu (author) / Dong, Bao-Tian (author) / Chen, Ying (author) / Li, Qian (author)


    Publication date :

    2011


    Size :

    6 Seiten




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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