Occluded Face Detection Based on Adaboost Technology

被引：3

作者：

Wang, Hua ^{[1
]}

Gu, Xin ^{[1
]}

Li, Xiao ^{[1
]}

Li, Zhe ^{[1
]}

Ni, Jun ^{[2
]}

机构：

[1] China Acad Launch Vehicle Technol, Ctr Res & Dev, Beijing 100076, Peoples R China

[2] Shanghai Sanda Univ, Shanghai, Peoples R China

来源：

2015 EIGHTH INTERNATIONAL CONFERENCE ON INTERNET COMPUTING FOR SCIENCE AND ENGINEERING (ICICSE) | 2015年

关键词：

Occluded Face; Background Subtraction; Adaboost; Haar Feature;

D O I：

10.1109/ICICSE.2015.26

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper proposes an occluded face detection technology based on the Adaboost algorithm. In this paper, we select moving regions for detection using a background subtraction method. The upper half and lower half parts of human face are detected respectively in moving regions by facial detector which was trained based on Adaboost algorithm and Haar features. Our experimental results indicate the occluded face detection can be built in the Adaboost algorithm for detect human faces in front of ATM machine effectively and efficiently.

引用

页码：87 / 90

页数：4