Xiaojin Zhu Jie Yang Alex Waibel Interactive Systems Laboratories School of...  Home/Search
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Abstract: Colorhasbeen widelyused 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 image, ... (Update)
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...hardware setup that currently only can be found in laboratories. Color segmentation is sensitive to changes in the overall illumination [19]. In addition, it is prone to segmentation errors caused by objects with similar colors in the image. It also fails, if colors are...
...the case. The system presented by Zhu et al. achieves good results for segmenting the hand in static images with cluttered background [18]. However, their method requires the hand to cover a large portion of the image and some prior knowledge about the most likely position of...
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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/article/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/article/zhu00segmenting.html" }
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