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Proceedings Paper

Face detection based on color adaptation
Author(s): Jin Duan; Xiaoman Wang; Chunguang Zhou; Xiaohua Liu; Zhi Liu
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Paper Abstract

A method for the detection and tracking of human face in color images is described in this paper. A skin color model in r,g,b chrominance space is used for segmenting skin color regions from non-skin color region. The best-fit rectangle of the skin color region is labeled as a candidate face. But the face skin color is sensitive to the change of the environment illumination. An algorithm is proposed to update the skin color model's parameters in time so that the model is adapted to different lighting conditions. The confidence measure is presented to evaluate the reliability of skin color model. Experiments demonstrate that the self-adaptive color model is more effective than the fixed model. The color adaptation makes that the color model can be better fit to the more complex application environment.

Paper Details

Date Published: 8 February 2005
PDF: 5 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.569369
Show Author Affiliations
Jin Duan, Changchun Univ. of Science and Technology (China)
Jilin Univ. (China)
Xiaoman Wang, Changchun Univ. of Science and Technology (China)
Chunguang Zhou, Jilin Univ. (China)
Xiaohua Liu, Jilin Univ. (China)
Zhi Liu, Changchun Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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