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http://dx.doi.org/10.3745/KIPSTB.2003.10B.6.711

Development of Face Tracking System Using Skin Color and Facial Shape  

Lee, Hyung-Soo (포항공과대학교 대학원 컴퓨터공학과)
Abstract
In this paper, we propose a robust face tracking algorithm. It is based on Condensation algorithm [7] and uses skin color and facial shape as the observation measure. It is hard to integrate color weight and shape weight. So we propose the method that has two separate trackers which uses skin color and facial shape as the observation measure respectively. One tracker tracks skin colored region and the other tracks facial shape. We used importance sampling technique to limit sampling region of two trackers. For skin-colored region tracker, we propose an adaptive color model to avoid the effect of illumination change. The proposed face tracker performs robustly in clutter background and in the illumination changes.
Keywords
tracking; CONDENSATION;
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  • Reference
1 Stan Brichfield, 'An Elliptical Head Tracker,' Proceeding of the 13st Asilomar Conference on signals, Systems and Computers, pp.1710-1714, 1997   DOI
2 J. Yang, A. Waibel, 'A Real-Time Face Tracker,' Proceeding of WACV, pp.142-147, 1996   DOI
3 Richard J. Qian, M. Ibrahim Sezan, and Kristine E. Matthews, 'A Robust Real-Time Face Tranking Algorithm,' International Conference on Image Processing, pp.31-135, 1998   DOI
4 M. Isard A. Blake, 'ICONDENSATION : Unifying Low-Level and High-Level Tracking in a Stochastic Framework,' Proceeding of European Conference on Computer Vision, pp.767-781, 1998   DOI   ScienceOn
5 Stan Birchfield, 'Elliptical Head Tacking Using Intensity Gradients and Color Histograms,' Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.232-237, 1998   DOI
6 Yogesh Raja, Stephen J. KcKenna and Shaogang Gong, 'Colour Model Selection and Adaptation in Dynamic Scenes,' 5th European Conference on Computer Vision, pp.460-474, 1998   DOI   ScienceOn
7 M. Isard, A, Blake, 'CONDENSATION-Conditional Density Propagation for Visual Tracking,' International Journal of Computer Vision, Vol.29, No.1, pp.5-28, 1998   DOI
8 H.K. Nishihara, 'Real-time tracking of People Using Stereo and Motion,' Proceeding of SPIE, pp.266-273, 1994   DOI
9 Gi-jeong Jang and In-So Kweon, 'Robust Real-time Face Tracking Using Adaptive Color Model,' International Symposium on Mechatronics and Intelligent Mechanical System for 21 Century, Changwon, Korea, 2000