Robust tracking of persons in real-world environments and in real-time is a common goal in many video applications. In this paper a computational system for the real-time tracking of multiple persons in natural environments is presented. The system integrates state-of-the-art methodologies for the analysis of movement and color, as well as for the detection of faces. Face detection is complemented by a face tracking module based on heuristics developed by the authors. Exemplary results of the integrated system working in real-world video sequences are shown.


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    Titel :

    Real-time tracking of multiple persons


    Beteiligte:
    Ruiz-del-Solar, J. (Autor:in) / Shats, A. (Autor:in) / Verschae, R. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    372990 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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