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Real-Time Decentralized Articulated Motion Analysis and Object Tracking From Videos

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2 Author(s)
Wei Qu ; Motorola Labs, Schaumburg ; Schonfeld, D.

In this paper, we present two new articulated motion analysis and object tracking approaches: the decentralized articulated object tracking method and the hierarchical articulated object tracking method. The first approach avoids the common practice of using a high-dimensional joint state representation for articulated object tracking. Instead, we introduce a decentralized scheme and model the interpart interaction within an innovative Bayesian framework. Specifically, we estimate the interaction density by an efficient decomposed interpart interaction model. To handle severe self-occlusions, we further extend the first approach by modeling high-level interunit interaction and develop the second algorithm within a consistent hierarchical framework. Preliminary experimental results have demonstrated the superior performance of the proposed approaches on real-world videos in both robustness and speed compared with other articulated object tracking methods.

Published in:

Image Processing, IEEE Transactions on  (Volume:16 ,  Issue: 8 )