Real-time multi-view face detection

被引：20
|
作者：
Zhang, ZQ [1 ]
Zhu, L [1 ]
Li, SZ [1 ]
Zhang, HJ [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
来源：
FIFTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/AFGR.2002.1004147
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a detector-pyramid architecture for real-time multi-view face detection. Using a coarse to fine strategy, the full view is partitioned into finer and finer views. Each face detector in the pyramid detects faces of its respective view range. Its training is performed by using a new meta booting learning algorithm. This results in the first real-time multi-view face detection system which runs at 5 frames per second for 320x240 image sequence.
引用
收藏
页码：149 / 154
页数：6
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