A new feature selection method for reliable tracking is presented. In this paper, it is assumed that features are tracked by template matching where small regions around the features are defined as templates. The proposed method selects features based on the upper bound of the average template matching error. This selection criterion is directly related to the reliability of tracking and hence, the performance is better than that of other feature detectors. Experimental results are presented to confirm the efficiency of the proposed method.


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    Title :

    Feature selection for reliable tracking using template matching


    Contributors:
    Kaneko, T. (author) / Hori, O. (author)


    Publication date :

    2003-01-01


    Size :

    402942 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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