Affine real-time face tracking using Gabor wavelet networks

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; generalization from an individual face template to a rather general face template; and adapting the computa...

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Bibliographic Details
Main Authors: Kruger, V., Happe, A., Sommer, G.
Format: Conference Proceeding
Language:English
Subjects:
Active contours
Cameras
Computer science
Face detection
Human computer interaction
Image sequences
Linux
Robustness
Surveillance
Testing
Online Access:Request full text
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Description
Summary: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; generalization from an individual face template to a rather general face template; and adapting 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 online using an active camera mount at 22 Hz. We present experimental results on the off-line tests on several common image sequences including the salesman-sequence as well as on the online tests.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2000.905289