Study of Face Detection Algorithm for Real-time Face Detection System

摘要：

In this paper, the Algorithm of face detection based on Ada Boost was studied, which is the multi-classifier cascade face detection algorithm and can attain real-time face detection in the system. It is a algorithm to automatically generate cascade classifier in the training process, which can effectively avoid the phenomenon of over trained. Compare to traditional AdaBoost face detection algorithm and feature subspace algorithm, the detection rate of the algorithm mentioned in this paper is not only higher nearly 10 percent, the detection velocity is also improved by more than one times. Also it is very robust to the illumination, pose etc variations and suitable for the real-time face detection system.

关键词： AdaBoost cascade classifier feature subspace face database real-time system

作者: Liying Lang Weiwei Gu

作者单位: College of Information and Electrical Engineering Hebei University of Engineering Handan, China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 785-788

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）