Face Detection By Improved AdaBoost

被引：0

作者：

Huang, Tao ^{[1
]}

Wang, Zhu ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, Wuhan 430074, Hubei, Peoples R China

来源：

PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012) | 2012年

关键词：

face detection; improved AdaBoost; detection rate; false detection;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper described an improved AdaBoost. AdaBoost is a face detection framework that is able to process images fast and accurately. Our improved AdaBoost is based on the original framework, but has higher detection rate without extra time cost. There are four main parts of this paper. The first part is an introduction of face detection and challenges to implement it. The second part introduced the original AdaBoost algorithm. The third part presented our improved AdaBoost in detail. The last partcompared and analyzed the improved AdaBoost with the original one, and proved the improvement through tests.

引用

页码：981 / 985

页数：5

共 10 条

[1]

[Anonymous], 1997, P IEEE C COMP VIS PA

[2] A decision-theoretic generalization of on-line learning and an application to boosting [J].