结合肤色和头发检测的人头区域检测方法

doi:10.3969/j.issn.0255-8297.2014.05.003

Journal of Applied Sciences ›› 2014, Vol. 32 ›› Issue (5): 453-457.doi: 10.3969/j.issn.0255-8297.2014.05.003

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Head Detection Using Skin Color and Hair Features

ZHU Qiu-yu1,2, WANG Guo-wei1, CHEN Bo1, YUAN Sai1, XU Jian-zhong1

1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
2. Institute of Smart City, Shanghai University, Shanghai 200444, China

Received:2014-03-04 Revised:2014-03-17 Online:2014-09-23 Published:2014-03-17

Abstract

Abstract: As occlusion occurs frequently in detecting dense crowd of persons, head detection based on Adaboost performs poorly. This paper presents an approach combining skin and hair detection to achieve more reliable head detection. Skin regions in an image are extracted using several color spaces including HSV,
RGB and XYZ. Hair is extracted with a MOG model of the hair color and hair edge texture. The skin and hair regions are fused to give a head region. Experimental results show that the method has a high accuracy and can provide satisfactory results.

Key words: dense crowd, head detection, skin detection, hair detection

CLC Number:

TP391.4

ZHU Qiu-yu1,2, WANG Guo-wei1, CHEN Bo1, YUAN Sai1, XU Jian-zhong1. Head Detection Using Skin Color and Hair Features[J]. Journal of Applied Sciences, 2014, 32(5): 453-457.

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Head Detection Using Skin Color and Hair Features

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