Recently, the Intelligent Transportation Systems (ITS) have been identified as the new paradigm to address the growing mobility problems, and to alleviate congestion and augment the quality of vehicular flow. This paper presents an intelligent and automatic framework for spatio-temporal vehicle tracking in video sequences in order to provide useful information to the traffic control center. The spatio-temporal relationships of the objects are captured automatically via a proposed unsupervised image/video segmentation method and multimedia input strings. A traffic video sequence is used to demonstrate the effectiveness of the proposed framework to identify and track the vehicle objects in the video sequence.


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    Titel :

    An intelligent framework for spatio-temporal vehicle tracking


    Beteiligte:
    Shu-Ching Chen, (Autor:in) / Mei-Ling Shyu, (Autor:in) / Chengcui Zhang, (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    733813 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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