Joint Integral Histogram based Adaboost for Face Detection System
International Journal of Computer Applications © 2011 by IJCA Journal
Number 1 - Article 1 Year of Publication: 2011
Authors: Ameni Yengui Jammoussi Dorra Sellami Masmoudi
10.5120/2984-3767 {bibtex}pxc3873767.bib{/bibtex}
Abstract
Face detection is a crucial step in many vision applica-tions. Since the Viola and Jones face detector, many fea- ture extraction approches based Adaboost are proposed.This paper presents a novel approach to extract effective features for face detection system. Both LBP and three Patch LBP (TPLBP) with joint integral histogram are used to extract features. The joint integral histogram was firstly proposed for stereo matching application. Its effectiveness has
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Joint Integral Histogram based Adaboost for Face Detection System
motivated us to apply it harnessing its advantages. The evaluation of the novel features based Adaboost was done using the CMU-MIT frontal face data set. Experimental results show that its performance is noteworthy specially for the earlier stages. In fact, with few number of the new features we can achieve the max detection (1) and reduced false positive rate (0.28).
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Joint Integral Histogram based Adaboost for Face Detection System
Computer Science
Key words LBP
face detection
Index Terms
Adaboost
Computer Vision
TPLBP
Haar feature Joint Integral histogram image
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