We present a method for visual face tracking that is based on a wavelet representation of a face template. The wavelet representation allows arbitrary affine variations of the facial image, it allows to generalize from an individual face template to a rather general face template and it allows to adapt the computational needs of the tracking algorithm to the computational resources available. The method presented runs in real-time (25 Hz) on a Linux Pentium 450 MHz and was tested on several common sequences including the salesman-sequence.


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    Title :

    Affine real-time face tracking using a wavelet network


    Contributors:
    Kruger, V. (author) / Happe, A. (author) / Sommer, G. (author)


    Publication date :

    1999-01-01


    Size :

    301462 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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