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2003
IEEE

Filtering Using a Tree-Based Estimator

12 years 8 months ago
Filtering Using a Tree-Based Estimator
Within this paper a new framework for Bayesian tracking is presented, which approximates the posterior distribution at multiple resolutions. We propose a tree-based representation of the distribution, where the leaves define a partition of the state space with piecewise constant density. The advantage of this representation is that regions with low probability mass can be rapidly discarded in a hierarchical search, and the distribution can be approximated to arbitrary precision. We demonstrate the effectiveness of the technique by using it for tracking 3D articulated and non-rigid motion in front of cluttered background. More specifically, we are interested in estimating the joint angles, position and orientation of a 3D hand model in order to drive an avatar.
Bjoern Stenger, Arasanathan Thayananthan, Philip H
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2003
Where ICCV
Authors Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla
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