Skin detection using the EM algorithm with spatial constraints

被引：7
|
作者：
Diplaros, A [1 ]
Gevers, T [1 ]
Vlassis, N [1 ]
机构：
[1] Univ Amsterdam, Inst Informat, NL-1012 WX Amsterdam, Netherlands
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 | 2004年
关键词：
skin color; skin detection; color models; EM algorithm; unsupervised learning; segmentation;
D O I：
10.1109/ICSMC.2004.1400810
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose a color-based method for skin detection and segmentation, which also takes into account the spatial coherence of the skin pixels. We treat the problem of skin detection as an inference problem.. We assume that each pixel in an image has a hidden binary label associated with it, that specifies if it is skin or not. In order to solve the inference problem we use a variational EM algorithm which incorporates the spatial constraints with just a small computational overhead in the E-step. Finally, we show that our method provides better results than the standard EM algorithm and a state-of-art skin-detection method from the literature [9].
引用
收藏
页码：3071 / 3075
页数：5
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