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http://dx.doi.org/10.3745/KIPSTB.2006.13B.3.283

A Real-Time Face Detection/Tracking Methodology Using Haar-wavelets and Skin Color  

Park Young-Kyung (성균관대학교 정보통신공학부)
Seo Hae-Jong (성균관대학교 정보통신공학부)
Min Kyoung-Won (전자부품연구원 디지털미디어 연구센터)
Kim Joong-Kyu (성균관대학교 정보통신공학부)
Publication Information
The KIPS Transactions:PartB / v.13B, no.3, 2006 , pp. 283-294 More about this Journal
Abstract
In this paper, we propose a real-time face detection/tracking methodology with Haar wavelets and skin color. The proposed method boosts face detection and face tracking performance by combining skin color and Haar wavelets in an efficient way. The proposed method resolves the problem such as rotation and occlusion due to the characteristic of the condensation algorithm based on sampling despite it uses same features in both detection and tracking. In particular, it can be applied to a variety of applications such as face recognition and facial expression recognition which need an exact position and size of face since it not only keeps track of the position of a face, but also covers the size variation. Our test results show that our method performs well even in a complex background, a scene with varying face orientation and so on.
Keywords
Haar; Condensation; AdaBoost; Amplitude Projection; Skin Color;
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