Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.07d
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- Pages.3037-3040
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- 2000
Real-Time Face Tracking Algorithm Robust to illumination Variations
조명 변화에 강인한 실시간 얼굴 추적 알고리즘
- Lee, Yong-Beom (Dept. of Computer Sci. & Eng., Korea Univ.) ;
- You, Bum-Jae (Intelligent System Control Research Center, KIST) ;
- Lee, Seong-Whan (Dept. of Computer Sci. & Eng., Korea Univ.) ;
- Kim, Kwang-Bae (Intelligent System Control Research Center, KIST)
- Published : 2000.07.17
Abstract
Real-Time object tracking has emerged as an important component in several application areas including machine vision. surveillance. Human-Computer Interaction. image-based control. and so on. And there has been developed various algorithms for a long time. But in many cases. they have showed limited results under uncontrolled situation such as illumination changes or cluttered background. In this paper. we present a novel. computationally efficient algorithm for tracking human face robustly under illumination changes and cluttered backgrounds. Previous algorithms usually defines color model as a 2D membership function in a color space without consideration for illumination changes. Our new algorithm developed here. however. constructs a 3D color model by analysing plenty of images acquired under various illumination conditions. The algorithm described is applied to a mobile head-eye robot and experimented under various uncontrolled environments. It can track an human face more than 100 frames per second excluding image acquisition time.
Keywords