Bodies in motion: Dynamic motion capture
(Körper in Bewegung: Dynamische Bewegungsaufzeichnung)
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. Alle Rechte vorbehalten.
| Schlagworte: | |
|---|---|
| Notationen: | Naturwissenschaften und Technik |
| Veröffentlicht in: | Twenty-first International Joint Conference on Artificial Intelligence 2010 in Pasadena |
| Sprache: | Englisch |
| Veröffentlicht: |
Pasadena
2009
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| Online-Zugang: | http://videolectures.net/ijcai09_byers_bim/ |
| Dokumentenarten: | Video |
| Level: | hoch |


