Boosting nested cascade detector for multi-view face detection

被引：40

作者：

Huang, C ^{[1
]}

Al, HZ ^{[1
]}

Wu, B ^{[1
]}

Lao, SH ^{[1
]}

机构：

[1] Tsing Hua Univ, Comp Sci & Technol Dept, Beijing 100084, Peoples R China

来源：

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2 | 2004年

关键词：

D O I：

10.1109/ICPR.2004.1334239

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, a novel nested cascade detector for multi-view face detection is presented. This nested cascade is learned by Schapire and Singer's improved boosting algorithms that use real-valued confidence-rated weak classifiers [1], where we use confidence-rated Look-Up-Table (LUT) weak classifiers based on Haar features. Experiments show the system performance is significantly improved compared with previous methods.

引用

页码：415 / 418

页数：4