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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
专题类脑智能研究中心
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.
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