Understanding purposeful human motion
- 20 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Human motion can be understood on several levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion that humans exist in a physical universe, as a consequence of this, a large part of human motion can be modeled and predicted with the laws of physics. Finally there is the notion that humans utilize muscles to actively shape purposeful motion. We employ a recursive framework for real-time, 3-D tracking of human motion that enables pixel-level, probabilistic processes to take advantage of the contextual knowledge encoded in the higher-level models, including models of dynamic constraints on human motion. We will show that models of purposeful action arise naturally from this framework, and further, that those models can be used to improve the perception of human motion. Results are shown that demonstrate both qualitative and quantitative gains in tracking performance.Keywords
This publication has 14 references indexed in Scilit:
- Detection of abrupt changes in dynamic systemsPublished by Springer Nature ,2005
- An efficient method for contour tracking using active shape modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Learning and recognizing human dynamics in video sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Monocular tracking of the human arm in 3DPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Modeling and Prediction of Human BehaviorNeural Computation, 1999
- Visual tracking of high DOF articulated structures: An application to human hand trackingPublished by Springer Nature ,1994
- Recursive 3-D road and relative ego-state recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Recovery of nonrigid motion and structurePublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Interactive dynamicsACM SIGGRAPH Computer Graphics, 1990
- Model-based image analysis of human motion using constraint propagationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1980