Real-time Estimation of Face Posture by Eyes Detection and Tracking with Particle Filter

摘要：

Aimed at face posture estimation and tracking in real time from image sequence captured by camera, we have proposed a method using state space model for estimating face direction and position with simplified flat face and two eyes model. Real-time implementation of state estimation for the model has been done with particle filter algorithm. Experiments with two obvious marks, picture face, face photo, and real face have demonstrated to show performance of the proposed method.

关键词： Eyes Detection Face Posture Tracking Panicle Filter Real Time

作者: Norikazu Ikoma Yuduo Chen Hideaki Kawano Hiroshi Maeda

作者单位: Faculty of Engineering Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan

会议类型: 国际会议

会议名称: The 4th International Symposium on Computational Intelligence and Industrial Application(第四届国际计算智能和工业应用研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 11-16

在线出版日期: 2010-08-01（万方平台首次上网日期，不代表论文的发表时间）