|Face Detection in Videos Using Skin Color Segmentation and Saliency Model|
|Chao Wang; Yunhong Wang; Zhaoxiang Zhang
|Conference Name||Chinese Conference on Pattern Recognition
|Source Publication||CCPR 2010
|Conference Date||21-23 October 2010
|Conference Place||Chongqing, China
|Abstract||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.|
Image Color Analysis
|Corresponding Author||Zhaoxiang Zhang|
Chao Wang,Yunhong Wang,Zhaoxiang Zhang. Face Detection in Videos Using Skin Color Segmentation and Saliency Model[C],2010.
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