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.

Bibliographische Detailangaben
Schlagworte:
Notationen:Naturwissenschaften und Technik
Veröffentlicht in:Twenty-first International Joint Conference on Artificial Intelligence 2010 in Pasadena
Sprache:Englisch
Veröffentlicht: Pasadena 2009
Online-Zugang:http://videolectures.net/ijcai09_byers_bim/
Dokumentenarten:Video
Level:hoch