Face Detection in Videos Using Skin Color Segmentation and Saliency Model

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	Face Detection in Videos Using Skin Color Segmentation and Saliency Model
	Chao Wang; Yunhong Wang; Zhaoxiang Zhang
	2010-10-21
会议名称	Chinese Conference on Pattern Recognition
会议录名称	CCPR 2010
会议日期	21-23 October 2010
会议地点	Chongqing, China
摘要	Given a video sequence containing face candidates, detecting faces is a challenging problem, which can be attributed to the difficulty in handling the appearance variability of the face. Based on skin color segmentation combined with the saliency model, a novel method is proposed to detect human faces in videos. Firstly, a skin color model in the YCbCr chrominance space is built to segment skin-color pixels from background in frames. Then, the candidate regions of human face can be extracted using mathematical morphological operators. Finally, a saliency model is proposed to detect eyes and mouths in face regions. Experimental results demonstrate successful face detection performance over a wide range of facial variations in color, illumination and scale in videos.
关键词	Face Image Color Analysis Skin Mouth Videos Face Detection Accuracy
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13296
专题	智能感知与计算研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Chao Wang,Yunhong Wang,Zhaoxiang Zhang. Face Detection in Videos Using Skin Color Segmentation and Saliency Model[C],2010.