This paper presents a new visual tracking method that can achieve accurate estimation of affine transformation and precise spatial-color representation. The estimation of transformation provides more information than translation for better motion understanding and also helps maintain the precise representation; the precise representation enables tracking objects in highly-cluttered environment. The basis of the method is a kernel-based similarity measure called affine matching that describes the relationship between image regions with respect to affine transformation parameters. Based on the similarity measure, a mathematical solution is derived for estimating the transformation parameters for moving objects in videos. Various experiments have yielded positive results.


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    Titel :

    Affine object tracking with kernel-based spatial-color representation


    Beteiligte:
    Haihong Zhang, (Autor:in) / Weimin Huang, (Autor:in) / Zhiyong Huang, (Autor:in) / Liyuan Li, (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    1686190 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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