Back to Search
Start Over
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field.
- Source :
- Human:Computer Interaction; 2007, p69-78, 10p
- Publication Year :
- 2007
-
Abstract
- We present a completely autonomous algorithm for the real-time creation of a moving subject's kinematic model from optical motion capture data and with no a priori information. Our approach solves marker tracking, the building of the kinematic model, and the tracking of the body simultaneously. The novelty lies in doing so through a unifying Markov random field framework, which allows the kinematic model to be built incrementally and in real-time. We validate the potential of this method through experiments in which the system is able to accurately track the movement of the human body without an a priori model, as well as through experiments on synthetic data. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540757726
- Database :
- Complementary Index
- Journal :
- Human:Computer Interaction
- Publication Type :
- Book
- Accession number :
- 33082990
- Full Text :
- https://doi.org/10.1007/978-3-540-75773-3_8