Face Detection in Videos Using Skin Color Segmentation and Saliency Model
文献类型：会议论文
| 作者 | Chao Wang ; Yunhong Wang; Zhaoxiang Zhang
|
| 出版日期 | 2010-10-21 |
| 会议日期 | 21-23 October 2010 |
| 会议地点 | Chongqing, China |
| 关键词 | Face Image Color Analysis Skin Mouth Videos Face Detection Accuracy |
| 英文摘要 | 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. |
| 会议录 | CCPR 2010
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13296]  |
| 专题 | 自动化研究所_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]. 见:. Chongqing, China. 21-23 October 2010. |
入库方式： OAI收割
来源：自动化研究所
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