The Research Based on The Video Sequence of Face Key Frames Extraction

摘要：

Accurate, real-time as well as high fitness of face detection is always the difficult problem of Face Recognition System. The paper aiming at the problem come up with a solution which can extract key frames of face from the video sequence. The algorithm using skin color and AdaBoost face detection to construct a real-time, high-efficient face key frames extractor. It can reduce AdaBoost cascade classifier training intensity and enhance the efficiency of Face Detection. On the other hand, we combine 40 Gabor filter groups in different scales and directions to detect human eyes, and then verify the extracted face key frames that significantly improve the speed of Gabor eye location. From the above, our method can extract face key frames from video sequence in real-time.

关键词： component face detection key frame human eye detection Gabor filter AdaBoost

作者: JinGuang Sun HongWei Qin Di Yang

作者单位: Computer Science and Technology DepartmentFuXin LiXing Technology Co., LtdLiaoning Technical Univers Computer Science and Technology Department

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）