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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    Title :

    Automatic detection of abnormal human events on train platforms


    Contributors:


    Publication date :

    2014-06-01


    Size :

    1085416 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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