Perception for Human Motion Understanding

The fact that people are embodied places powerful constraints on their motion. By leveraging these constraints, we can build systems to perceive human motion that are fast and robust. More importantly, by understanding how these constraint systems relate to one another, and to the perceptual process itself, we can make progress toward building systems that interpret, not just capture, human motion. To Appear in Innovations in Machine Intelligence & Robot Perception. This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Copyright c © Mitsubishi Electric Research Laboratories, Inc., 2004 201 Broadway, Cambridge, Massachusetts 02139 April 1998: portions published in the Third IEEE International Conference on Automatic Face and Gesture Recognition March 2000: portions published in the Fourth IEEE International Conference on Automatic Face and Gesture Recognition March 2000: portions published in Christopher R. Wren’s Doctorial Thesis Dissertation for the Massachusetts Institute of Technology Electrical Engineering and Computer Science Department August 2004: Invited chapter in Innovations in Machine Intelligence and Robot Perception. The fact that people are embodied places powerful constraints on their motion. By leveraging these constraints, we can build systems to perceive human motion that are fast and robust. More importantly, by understanding how these constraint systems relate to one another, and to the perceptual process itself, we can make progress toward building systems that interpret, not just capture, human motion.