Skin colour detection using the statistical decision theory

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Conference Proceeding
Advanced Materials Research, 2013, 694 697 pp. 1891 - 1895
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Skin colour is an important attribute that can be used to detect human presence in an image. In this paper, a new method is introduced to detect skin pixels in an image based on statistical decision theory. The proposed method uses a parametric model to produce a pixel seed that represents a potential skin pixel. Then the validity of the pixel is confirmed using a moving window and the nonparametric sign test. Experiments show that the proposed method can produce very accurate skin detection results. © (2013) Trans Tech Publications, Switzerland.
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