Face detection using combination of skin color pixel detection and Viola-Jones face detector

This paper presents a human face detection scheme by combining a novel hybrid color models and Viola-Jones face detector. A hybrid skin color model RGB-CbCrCg was proposed for classifying skin and non-skin pixels. The extraction of skin region is carried out using a set of bounding rules optimized e...

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Bibliographic Details
Main Author: Guan-Chun Luh
Format: Conference Proceeding
Language:English
Subjects:
Abstracts
Cities and towns
Computational modeling
ECU face and skin database
Electronic mail
Face detection
Mathematical model
MATLAB
MATLAB Computer Vision System Toolbox
Multi-objective differential evolution
Skin
Skin detection
Viola-Jones algorithm
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Description
Summary:This paper presents a human face detection scheme by combining a novel hybrid color models and Viola-Jones face detector. A hybrid skin color model RGB-CbCrCg was proposed for classifying skin and non-skin pixels. The extraction of skin region is carried out using a set of bounding rules optimized employing multi-objective differential evolution method. Afterward the segmented face regions are identified using Viola-Jones algorithm built in MATLAB Computer Vision System Toolbox™. The performances of skin and face detection were evaluated using the ECU face and skin database. Experimental results show that the proposed scheme outperforms the other skin color space methods.
ISSN:2160-133X
DOI:10.1109/ICMLC.2014.7009143