Face detection based on color adaptation

Jin Duan; Xiaoman Wang; Chunguang Zhou; Xiaohua Liu; Zhi Liu

doi:10.1117/12.569369

8 February 2005 Face detection based on color adaptation

Jin Duan, Xiaoman Wang, Chunguang Zhou, Xiaohua Liu, Zhi Liu

Proceedings Volume 5637, Electronic Imaging and Multimedia Technology IV; (2005) https://doi.org/10.1117/12.569369
Event: Photonics Asia, 2004, Beijing, China

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.

Citation Download Citation

Jin Duan, Xiaoman Wang, Chunguang Zhou, Xiaohua Liu, and Zhi Liu "Face detection based on color adaptation", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.569369

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KEYWORDS

Skin

RGB color model

Facial recognition systems

Image segmentation

Roentgenium

Video

Colorimetry

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