Face Tracking System Based on Gentle AdaBoost and Weighted Particle Filter

被引：0
|
作者：
Cao, Lin [1 ]
Zhou, Xi [1 ]
Liu, Dan [1 ]
Zhou, Jinhe [1 ]
机构：
[1] Beijing Informat Sci & Technol Univ, Dept Telecommun Engn, Beijing, Peoples R China
来源：
PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3 | 2012年
关键词：
Face tracking; Gentle AdaBoost; Weighted Particle Filter; GAB-WPF;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A face tracking system based on Gentle AdaBoost (GAB) and Weighted Particle Filter (WPF) are presented in this paper. The proposed algorithm is based on the fact that all the particles can be used, which improves the performance of the face tracking. At the same time, the GAB can be used to correct the tracking system so that the only best face image of someone can be detected. In a word, this paper shows how GAB combines with WPF to achieve a robust face tracking results. The experiment results clearly show the effectiveness of GAB-WPF algorithm in tracking.
引用
收藏
页码：1601 / 1604
页数：4
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