
Proceedings Paper
Bayesian distributed articulated object tracking using multiple collaborative trackersFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, we propose two novel articulated object tracking approaches. The Decentralized Articulated Object Tracking
approach avoids the common practice of using a high-dimensional joint state representation for articulated object tracking.
Instead, it introduces a decentralized scheme and models the inter-part interaction within an innovative Bayesian framework.
To handle severe self-occlusions, we further extend the first approach by modeling high-level inter-unit interactions
and develop the Hierarchical Articulated Object Tracking algorithm within a consistent hierarchical framework. Preliminary
experimental results have demonstrated the superior performance of the proposed approaches for real-world videos
sequences.
Paper Details
Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65080K (29 January 2007); doi: 10.1117/12.701983
Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)
PDF: 8 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65080K (29 January 2007); doi: 10.1117/12.701983
Show Author Affiliations
Wei Qu, Motorola Labs. (United States)
Dan Schonfeld, Univ. of Illinois (United States)
Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)
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