The problem of moving person tracking, without knowledge about the number of persons in the scene, and by taking into account occlusion, under-segmentation and over-segmentation, is challenging. A first motion detection gives us regions with several segmentation problems due to bad acquisition conditions. The tracking step, which has to manage all these problems, is realized with the EM algorithm (expectation maximization). It uses a kinematic model: we suppose a rectilinear and uniform apparent motion, this hypothesis seems very restrictive but remains locally accurate in most applications. Good results are obtained with this approach on several sequences, without any initialization.


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    Title :

    Trajectories extraction from image sequences based on kinematic


    Contributors:
    Mostafaoui, G. (author) / Achard, C. (author) / Milgram, M. (author)


    Publication date :

    2003-01-01


    Size :

    322859 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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