A Fast and Robust face Detection and Tracking Algorithm

被引：0
|
作者：
Ma, Yanke [1 ]
Peng, Ti [1 ]
Zhang, Tong [1 ]
机构：
[1] Guilin Univ Elect & Technol, Electromech Engn Coll, Guilin, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC) | 2014年
关键词：
Face detection and tracking; Adaboost; Mean-Shift; MHI;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Facing the problem of poor detection effect and bad real-time performance of existing method, a fast and robust face detecting and tracking algorithm is proposed, which detects face region by a improved Adaboost method at first, and then tracks it by Mean Shift algorithm combined with the motion history image (MHI). The experimental results demonstrate that the proposed algorithm can robustly detect and track human face, even in the event of occlusion, hence suitable for real-time video surveillance.
引用
收藏
页码：446 / 449
页数：4
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