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Proceedings Paper

Bayesian distributed articulated object tracking using multiple collaborative trackers
Author(s): Wei Qu; Dan Schonfeld
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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
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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