Adaboost algorithm based on MB-LBP features with skin color segmentation for face detection

Author

Ge, Kai-biao ; Wen, Jing ; Fang, Bin

Author_Institution

Dept. of Comput. Sci., Chongqing Univ., Chongqing, China

fYear

2011

fDate

10-13 July 2011

Firstpage

40

Lastpage

43

Abstract

Face detection is a complicated and important problem in pattern recognition and also has wide application. Since Viola and Jones´ work effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning. In this paper a face detection algorithm based on AdaBoost has been implemented, but we extract MB-LBP features instead of Haar features, which are used for Training of AdaBoost classifier. In order to reduce false alarm rate, we also combine skin color with AdaBoost.

Keywords

Haar transforms; face recognition; image colour analysis; image segmentation; learning (artificial intelligence); skin; AdaBoost learning; Adaboost algorithm; Haar-like features; MB-LBP features; face detection; pattern recognition; skin color segmentation; Face; Face detection; Feature extraction; Image color analysis; Pattern recognition; Skin; Training; Face detection; MB-LBP; Skin color;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on

Conference_Location

Guilin

ISSN

2158-5695

Print_ISBN

978-1-4577-0283-9

Type

conf

DOI

10.1109/ICWAPR.2011.6014477

Filename

6014477