Statistical classification of skin color pixels from MPEG videos

Jinchang Ren, J. Jiang

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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
Original languageEnglish
Title of host publicationAdvanced concepts for intelligent vision systems, proceedings
EditorsJ B Talon, W Philips, D Popescu, P Scheunders
Place of PublicationBerlin
PublisherSpringer
Pages395-405
Number of pages10
ISBN (Print)9783540746065
DOIs
Publication statusPublished - 2007

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume4678
ISSN (Print)0302-9743

Keywords

  • face detection
  • images
  • segmentation

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