PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Head and Facial Action Tracking: Comparison of two robust approaches
Romain Herault, Franck Davoine and Yves Grandvalet
Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (FGR06) Volume 00, pp. 287-292, 2006. ISSN ISBN:0-7695-2503-2

Abstract

In this work, we address a method that is able to track simultaneously 3D head movements and facial actions like lip and eyebrow movements in a video sequence. In a baseline framework, an adaptive appearance model is estimated online by the knowledge of a monocular video sequence. This method uses a 3D model of the face and a facial adaptive texture model. Then, we consider and compare two improved models in order to increase robustness to occlusions. First, we use robust statistics in order to downweight the hidden regions or outlier pixels. In a second approach, mixture models provides better integration of occlusions. Experiments demonstrate the benefit of the two robust models. The latter are compared under various occlusions.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Learning/Statistics & Optimisation
ID Code:2239
Deposited By:Romain Herault
Deposited On:07 October 2006