Physics-based priors for human pose tracking.
Published: 2006
Language: eng
Number of pages: 78
ISBN-13: 9780494210543
Description: This thesis presents a physics-based prior model of human motion suitable for use in pose tracking. This prior uses abstract physical models to capture salient aspects of human walking such as contact dynamics and the pendular nature of body motion. Because of the low dimensionality of the model, simple control strategies are successful in controlling its motion. Two different physical models are used in experiments to explore the trade-off between the complexity of the dynamics and the effectiveness of the prior. The ability of the prior to work with non-trivial walking sequences and in the presence of occlusion is demonstrated.
Notes: Source: Masters Abstracts International, Volume: 45-03, page: 1523.

Advisor: D. Fleet

Thesis (M.Sc.)--University of Toronto, 2006.

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