Bodies in motion: Dynamic motion capture
Exploring the use of full-body 3D physical simulation for human kinematic tracking from monocular and multi-view video sequences within the Bayesian filtering framework. Towards greater physical plausibility, it is considered a human's motion to be generated by a "feedback control loop", where Newtonian physics approximates the rigid-body motion dynamics of the human and the environment through the application and integration of forces. The result is more faithful modeling of human-environment interactions, such as ground contacts, resulting from collisions and the human's motor control.
© Copyright 2009 Twenty-first International Joint Conference on Artificial Intelligence 2010 in Pasadena. All rights reserved.
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| Notations: | technical and natural sciences |
| Published in: | Twenty-first International Joint Conference on Artificial Intelligence 2010 in Pasadena |
| Language: | English |
| Published: |
Pasadena
2009
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| Online Access: | http://videolectures.net/ijcai09_byers_bim/ |
| Document types: | video |
| Level: | advanced |