Affine real-time face tracking using gabor wavelet networks

Volker Krüger; Alexander Happe; Gerald Sommer

doi:10.1109/ICPR.2000.905289

Affine real-time face tracking using gabor wavelet networks

Volker Krüger, Alexander Happe, Gerald Sommer

University of Kiel

Research output: Contribution to journal › Article › peer-review

Abstract

In this article 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 deformations 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 was implemented on a Linux Pentium 450 MHz and runs off-line with 25 Hz and on-line, using an active camera mount, with 22 Hz. We present experimentals results on off-line tests on several common image sequences including the salesman-sequence as well as on on-line tests.

Original language	English
Pages (from-to)	127-130
Number of pages	4
Journal	Proceedings-International Conference on Pattern Recognition
Volume	15
Issue number	1
DOIs	https://doi.org/10.1109/ICPR.2000.905289
Publication status	Published - 2000 Jan 1
Externally published	Yes

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Affine real-time face tracking using gabor wavelet networks

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