A Bayesian Approach to Skin Detection in YCbCr Color Space

被引：0

作者：

Wu Zhongdong ^{[1
]}

Wang Saichao ^{[1
]}

Han Zichao

机构：

[1] Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou 730070, Peoples R China

来源：

2013 INTERNATIONAL JOINT CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY & UBI-MEDIA COMPUTING (ICAST-UMEDIA) | 2013年

关键词：

Bayesian decision; skin detection; lookup table (LUT); Gaussian normalization;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Skin color has been proved to be a useful way for face detection, localization and tracking. To effectively detect the skin region in images, we implement two different skin color classification techniques. We began by first constructing the skin color models with one (Cb-Cr) lookup table, and then using two (Cb-Y and Cr-Y) lookup tables. In the model by two lookup tables (LUTs) we take the influence of luminance (Y component) on skin color into consideration. In order to use two LUTs together, Gaussian normalization and linear transformation are used to normalize the range of threshold value to [0,1]. Experimental results have demonstrated that the model by two LUTs can effectively detect skin regions, and the problems are also introduced in this paper.

引用

页码：606 / +

页数：2

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