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Robust 3D Hand Tracking based on a Coupled Particle Filter  

Ahn, Woo-Seok (고려대학교 컴퓨터학과)
Suk, Heung-Il (고려대학교 컴퓨터학과)
Lee, Seong-Whan (고려대학교 정보통신대학)
Publication Information
Journal of KIISE:Software and Applications / v.37, no.1, 2010 , pp. 80-84 More about this Journal
Abstract
Tracking hands is an essential technique for hand gesture recognition which is an efficient way in Human Computer Interaction (HCI). Recently, many researchers have focused on hands tracking using a 3D hand model and showed robust tracking results compared to using 2D hand models. In this paper, we propose a novel 3D hand tracking method based on a coupled particle filter. This provides robust and fast tracking results by estimating each part of global hand poses and local finger motions separately and then utilizing the estimated results as a prior for each other. Furthermore, in order to improve the robustness, we apply a multi-cue based method by integrating a color-based area matching method and an edge-based distance matching method. In our experiments, the proposed method showed robust tracking results for complex hand motions in a cluttered background.
Keywords
Coupled particle filter; 3D hand tracking; multi-cue integration; 3D hand model;
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