Statistical classification of skin color pixels from MPEG videos

Tools

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 (https://doi.org/10.1007/978-3-540-74607-2_36)

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Abstract

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

ORCID iDs

Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194 and Jiang, J.; Talon, J B, Philips, W, Popescu, D and Scheunders, P
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