Sciweavers

Share
ICPR
2004
IEEE

Skin Detection: A Bayesian Network Approach

12 years 6 months ago
Skin Detection: A Bayesian Network Approach
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.
Ira Cohen, Nicu Sebe, Theo Gevers, Thomas S. Huang
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Ira Cohen, Nicu Sebe, Theo Gevers, Thomas S. Huang
Comments (0)
books