We propose an object-based framework for detection and tracking of moving objects in a sequence of images. Two key ingredients of the approach are appropriate object models based on Grenander's (see General Pattern Theory, 1993) deformable templates and spatio-temporal data models. Detection and tracking problems are formulated as optimization problems. Detection employs a Metropolis-type procedure starting from a random initial configuration, while tracking involves a deterministic nonlinear Gauss-Seidel algorithm. We present experimental results with real data on a highway traffic sequence.<>


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    Titel :

    Motion detection and tracking using deformable templates


    Beteiligte:
    Perez, P. (Autor:in) / Gidas, B. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    497857 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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