Statistical classification of skin color pixels from MPEG videos

Ren, Jinchang and Jiang, J.; Talon, J B and Philips, W and Popescu, D and Scheunders, P, eds. (2007) Statistical classification of skin color pixels from MPEG videos. In: Advanced concepts for intelligent vision systems, proceedings. Lecture notes in computer science . Springer, Berlin, pp. 395-405. ISBN 9783540746065

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Detection and classification of skin regions plays important roles in many image processing and vision applications. In this paper, we present a statistical approach for fast skin detection in MPEG-compressed videos. Firstly, conditional probabilities of skin and non-skin pixels are extracted from manual marked training images. Then, candidate skin pixels are identified using the Bayesian maximum a posteriori decision rule. An optimal threshold is then obtained by analyzing of probability error on the basis of the likelihood ratio histogram of skin and non-skin pixels. Experiments from sequences with varying illuminations have demonstrated the effectiveness of our approach


Ren, Jinchang ORCID logoORCID: and Jiang, J.; Talon, J B, Philips, W, Popescu, D and Scheunders, P