Affine real-time face tracking using a wavelet network
Volker Krüger, Arndt Happe, Gerald Sommer · 2003
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.