The iterative procedure called 'mean-shift' is a simple robust method for finding the position of a local mode (local maximum) of a kernel-based estimate of a density function. A new robust algorithm is given here that presents a natural extension of the 'mean-shift' procedure. The new algorithm simultaneously estimates the position of the local mode and the covariance matrix that describes the approximate shape of the local mode. We apply the new method to develop a new 5-degrees of freedom (DOF) color histogram based non-rigid object tracking algorithm.


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    Titel :

    An EM-like algorithm for color-histogram-based object tracking


    Beteiligte:
    Zivkovic, Z. (Autor:in) / Krose, B. (Autor:in)


    Erscheinungsdatum :

    01.01.2004


    Format / Umfang :

    644478 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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