(Enter summary)
Abstract: Color has been widely used for hand segmentation. However,
many approaches rely on predefined skin color models.
It is very difficult to predefine a color model in a mobile
application where the light condition may change dramatically
over time. In this paper, we propose a novel statistical
approach to hand segmentation based on Bayes decision
theory. The proposed method requires no predefined skin
color model. Instead it generates a hand color model and a
background color model for a given... (Update)
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BibTeX entry: (Update)
Zhu, X., Yang, J. and Waibel, A. Segmenting Hands of Arbitrary Color, International Conference on Automatic Face and Gesture Recognition, Grenoble, 2000. a b http://citeseer.ist.psu.edu/zhu00segmenting.html More
@misc{ zhu00segmenting,
author = "X. Zhu and J. Yang and A. Waibel",
title = "Segmenting Hands of Arbitrary Color",
text = "Zhu, X., Yang, J. and Waibel, A. Segmenting Hands of Arbitrary Color, International
Conference on Automatic Face and Gesture Recognition, Grenoble, 2000. a
b",
year = "2000",
url = "citeseer.ist.psu.edu/zhu00segmenting.html" }
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