Skin Detection: A Bayesian Network Approach

Authors:
Nicu Sebe;Ira Cohen;Thomas S. Huang;Theo Gevers
Affiliations:
University of Amsterdam, The Netherlands;HP Research Labs, USA;University of Illinois at Urbana-Champaign, USA;University of Amsterdam, The Netherlands
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Year:
2004

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Abstract

The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. In this paper we propose a Bayesian network approach for skin detection. We test several classifiers and propose a methodology for incorporating unlabeled data. We apply the semi-supervised approach to skin detection and we show that learning the structure of Bayesian network classifiers enables learning good classifiers with a small labeled set and a large unlabeled set.