Accession Number : ADA327881

Title :   Skin-Color Modeling and Adaptation,

Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE

Personal Author(s) : Yang, Jie ; Lu, Weier ; Waibel, Alex

PDF Url : ADA327881

Report Date : MAY 1997

Pagination or Media Count : 27

Abstract : This report studies a statistical skin-color model and its adaptation. By quantitative analysis and goodness-of fit test we reveal that (1) skin-color differences among people can be reduced by intensity normalization and (2) under a certain lighting condition a skin-color distribution can be characterized by a multivariate normal distribution in the normalized color space. We then propose an adaptive model to characterize human skin-color distributions for locating human faces under different lighting conditions. The parameters of the model are adapted by a linear combination of the known parameters. The maximum likelihood criterion has been used to obtain the optimal estimation of the coefficients. The model has been successfully applied to a real-time face tracker and other applications.

Descriptors :   *OPTICAL DETECTORS, *PERSONNEL DETECTORS, QUANTITATIVE ANALYSIS, MODELS, MULTIVARIATE ANALYSIS, ADAPTIVE SYSTEMS, NORMALIZING(STATISTICS), SKIN(ANATOMY), COLORIMETRY, COLORIMETRIC ANALYSIS, COLORIMETERS.

Subject Categories : Optical Detection and Detectors

Distribution Statement : APPROVED FOR PUBLIC RELEASE