Statistical classification of skin color pixels from MPEG videos

Jinchang Ren, J. Jiang

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


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
Original languageEnglish
Title of host publicationAdvanced concepts for intelligent vision systems, proceedings
EditorsJ B Talon, W Philips, D Popescu, P Scheunders
Place of PublicationBerlin
Number of pages10
ISBN (Print)9783540746065
Publication statusPublished - 2007

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743


  • face detection
  • images
  • segmentation

Fingerprint Dive into the research topics of 'Statistical classification of skin color pixels from MPEG videos'. Together they form a unique fingerprint.

Cite this