We propose a new model free approach to object tracking. It is based on the estimation of the location and scale parameter of a feature distribution by using asymptotic properties of order statistics. The basic distribution considered is the distribution of the coordinates of some kind of low level localized features, e.g. edges. A robust and real time tracking behavior is achieved by the algorithm's integrative character. The performance of the approach is demonstrated by a real world example.


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    Title :

    Using order statistics for object tracking


    Contributors:
    Werner, M. (author) / von Seelen, W. (author)


    Publication date :

    1997-01-01


    Size :

    638986 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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