Filtering using a tree-based estimator
- 1 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1063-1070 vol.2
- https://doi.org/10.1109/iccv.2003.1238467
Abstract
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 nonrigid 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.Keywords
This publication has 13 references indexed in Scilit:
- Model-based 3D tracking of an articulated handPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Estimating 3D hand pose from a cluttered imagePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Learning a Kinematic Prior for Tree-Based FilteringPublished by British Machine Vision Association and Society for Pattern Recognition ,2003
- Tracking non-rigid objects in complex scenesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- People tracking using hybrid Monte Carlo filteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Sequential Monte Carlo Methods in PracticePublished by Springer Nature ,2001
- Partitioned Sampling, Articulated Objects, and Interface-Quality Hand TrackingPublished by Springer Nature ,2000
- Automatic target recognition by matching oriented edge pixelsIEEE Transactions on Image Processing, 1997
- Hierarchical chamfer matching: a parametric edge matching algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988
- Digital synthesis of non-linear filtersAutomatica, 1971