DocumentCode :
3561594
Title :
Estimation of Skin Color Range Using Achromatic Features
Author :
Liao, Wen-Hung ; Chi, Yu-Hao
Author_Institution :
Dept. of Comput. Sci., Nat. Chengchi Univ., Taipei
Volume :
2
fYear :
2008
Firstpage :
493
Lastpage :
497
Abstract :
Robust detection of skin color is a difficult task since color information changes under different lighting conditions. Previous research indicated that human skin color is restricted to a small range of values in certain color coordinate systems. However, the ranges tend to shift with varying illumination according to our experiments. It is therefore unattainable to derive a universal standard for skin color detection and segmentation for general scenes. To address this issue, we propose to use achromatic features to identify the proper ranges of skin color in an image. Specifically, we utilize the result of face detection, which is independent of chromatic properties, to guide the process of skin color range selection. Experimental results have validated the efficiency of the proposed methodology for vision-based human-computer interface (HCI) such as hand and finger detection.
Keywords :
computer vision; face recognition; feature extraction; image colour analysis; image segmentation; user interfaces; achromatic feature extraction; color coordinate system; face detection; finger detection; hand detection; illumination condition; lighting condition; skin color detection; skin color range estimation; skin color range selection; skin color segmentation; vision-based human-computer interface; Detectors; Face detection; Fingers; Human computer interaction; Image segmentation; Intelligent systems; Layout; Lighting; Robustness; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Print_ISBN :
978-0-7695-3382-7
Type :
conf
DOI :
10.1109/ISDA.2008.208
Filename :
4696382
Link To Document :
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