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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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



    Erschienen in:

    Key Engineering Materials ; 467-469 ; 503-508


    Erscheinungsdatum :

    2011-02-21


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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

    Xie, Z.Y. / Dong, B.T. / Chen, Y. et al. | British Library Conference Proceedings | 2011



    Gaussian Mixture Classification for Moving Object Detection in Video Surveillance Environment

    Carminati, L. / Benois-Pineau, J. | British Library Conference Proceedings | 2005


    China High-Speed Railway Railcar System

    Hattori, M. / Kubo, S. / Shoji, T. et al. | British Library Conference Proceedings | 2000