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



    Published in:

    Key Engineering Materials ; 467-469 ; 503-508


    Publication date :

    2011-02-21


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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