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2003
IEEE

Tracking Articulated Hand Motion with Eigen Dynamics Analysis

10 years 3 months ago
Tracking Articulated Hand Motion with Eigen Dynamics Analysis
This paper introduces the concept of eigen-dynamics and proposes an eigen dynamics analysis (EDA) method to learn the dynamics of natural hand motion from labelled sets of motion captured with a data glove. The result is parameterized with a high-order stochastic linear dynamic system (LDS) consisting of five lower-order LDS. Each corresponding to one eigen-dynamics. Based on the EDA model, we construct a dynamic Bayesian network (DBN) to analyze the generative process of a image sequence of natural hand motion. Using the DBN, a hand tracking system is implemented. Experiments on both synthesized and real-world data demonstrate the robustness and effectiveness of these techniques.
Hanning Zhou, Thomas S. Huang
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICCV
Authors Hanning Zhou, Thomas S. Huang
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