Skin detection: a Bayesian network approach
Nicu Sebe, Ira L. Cohen, Tianyu Huang, Theo Gevers · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · 2004
The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. 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.