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基于支持向量机的肤色检测
引用本文:徐从东,罗家融,肖炳甲,舒双宝. 基于支持向量机的肤色检测[J]. 计算机工程与设计, 2008, 29(10): 2600-2603
作者姓名:徐从东  罗家融  肖炳甲  舒双宝
作者单位:中国科学院等离子体物理研究所计算机应用研究室,安徽合肥,230031;解放军炮兵学院指挥自动化与仿真系,安徽合肥,230031;中国科学院等离子体物理研究所计算机应用研究室,安徽合肥,230031
基金项目:中国科学院知识创新工程重要方向性基金
摘    要:根据支持向量机理论和肤色信息分布特点,提出用支持向量机方法进行肤色检测.在YCbCr、YIQ、YUV颜色空间中,去除照度分量,分别以各像素点的色度向量为输入,用像素点所属类别--皮肤区域与非皮肤区域为输出,建立各颜色空间的支持向量机肤色检测器.实验表明,该方法具有良好的肤色检测效果.

关 键 词:肤色检测  支持向量机  颜色空间  高斯函数  序列最小最优化算法
文章编号:1000-7024(2008)10-2600-04
修稿时间:2007-06-15

Skin detection based on support vector machines
XU Cong-dong,LUO Jia-rong,XIAO Bing-jia,SHU Shuang-bao. Skin detection based on support vector machines[J]. Computer Engineering and Design, 2008, 29(10): 2600-2603
Authors:XU Cong-dong  LUO Jia-rong  XIAO Bing-jia  SHU Shuang-bao
Affiliation:XU Cong-dong1,2,LUO Jia-rong1,XIAO Bing-jia1,SHU Shuang-bao1(1.Lab of Computer Application,Institute of Plasma Physics,Chinese Academy of Sciences,Hefei 230031,China,2.Department of Comm, Automation , Simulation,Artillery Academy of PLA,China)
Abstract:According to the theory of support vector machines and the characteristic of skin color distributing,a novel skin detection ap-proach based on support vector machines is proposed.In YCbCr,YIQ and YUV color spaces,skin detectors based on support vector machines are constructed.Input vector of them is composed of pixel's chrominance components except for luminance,and output is kinds including skin and nonskin which pixels belong to.Experimental result shows the approach to detect skin is effective.
Keywords:skin detection  support vector machines  color space  Gaussian function  sequential minimal optimization algorithm  
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