17. Bodies In Motion: Dynamic Motion Capture

author: Odest Chadwicke Jenkins, Department of Computer Science, Brown University
author: Leonid Sigal, Department of Computer Science, University of Toronto
author: Marek Vondrak, Department of Computer Science, Brown University
author: Daniel Byers, Department of Computer Science, Brown University
published: June 20, 2009,   recorded: May 2009,   views: 5699

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


We explore 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, we consider 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. For more information, please see: http://robotics.cs.brown.edu/projects/dynamical_tracking/.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: