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


The KIPS Transactions:PartB , Vol. 13, No. 3, pp. 283-294, Jun. 2006
10.3745/KIPSTB.2006.13.3.283,   PDF Download:

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.


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Cite this article
[IEEE Style]
Y. K. Park, H. J. Seo, K. W. Min, J. K. Kim, "A Real-Time Face Detection/Tracking Methodology Using Haar-wavelets and Skin Color," The KIPS Transactions:PartB , vol. 13, no. 3, pp. 283-294, 2006. DOI: 10.3745/KIPSTB.2006.13.3.283.

[ACM Style]
Young Kyung Park, Hae Jong Seo, Kyoung Won Min, and Joong Kyu Kim. 2006. A Real-Time Face Detection/Tracking Methodology Using Haar-wavelets and Skin Color. The KIPS Transactions:PartB , 13, 3, (2006), 283-294. DOI: 10.3745/KIPSTB.2006.13.3.283.