Complex motion makes consecutive frames experience dramatic change, and thus becomes a barrier to object-tracking. Three factors contribute to more complexity of motion: longer sampling period,an moving object with complex appearance and nonrestraint movement, occlusion, which causes mean shift algorithm losing its target due to too low a Bhattacharyya coefficient. To treat it, mean shift algorithm is improved based on a new way of fast color thresholding and region merging in this paper. Visual experiments show the effectiveness of the proposed method.


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    Title :

    A New Improvement on Mean-Shift Algorithm


    Contributors:


    Publication date :

    2008-05-01


    Size :

    359203 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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