Skin-color Modeling and Adaptation
Conference Paper, Proceedings of 3rd Asian Conference on Computer Vision (ACCV '98), Vol. 2, pp. 687 - 694, 1998
Abstract
This paper studies a statistical skin-color model and its adaptation. It is revealed that (1) human skin colors cluster in a small region in a color space; (2) the variance of a skin color cluster can be reduced by intensity normalization, and (3) 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 tracking human faces under different lighting conditions. The parameters of the model are adapted based on the maximum likelihood criterion. The model has been successfully applied to a real-time face tracker and other applications.
BibTeX
@conference{Yang-1998-16550,author = {Jie Yang and Weier Lu and Alex Waibel},
title = {Skin-color Modeling and Adaptation},
booktitle = {Proceedings of 3rd Asian Conference on Computer Vision (ACCV '98)},
year = {1998},
month = {January},
volume = {2},
pages = {687 - 694},
}
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