Skin detection via linear regression tree

A simple and efficient skin detector facilitates automatic and robust human detection and tracking. In this paper, we propose a new skin detection method via linear regression tree, which decomposes the problem of discriminating different skin and nonskin colors into several simple problems. Experimental results on the MCG skin database demonstrated its better generalization ability and discriminability than state-of-the-arts.