Video surveillance systems that contain a large number of cameras makes the continuous monitoring of the video feeds nearly an impossible task. A transit or transportation authority usually deploys a video surveillance system to monitor and identify events in the system such as crowd behavior and crime. In this paper we present a method for automatically detecting people jumping or falling off a train platform. An experimental evaluation is described using a dataset that was recorded at a train station.


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    Titel :

    Automatic detection of abnormal human events on train platforms


    Beteiligte:
    Delgado, Blanca (Autor:in) / Tahboub, Khalid (Autor:in) / Delp, Edward J. (Autor:in)


    Erscheinungsdatum :

    2014-06-01


    Format / Umfang :

    1085416 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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