Sciweavers

Share
CVIU
2007

A real-time hand tracker using variable-length Markov models of behaviour

9 years 5 months ago
A real-time hand tracker using variable-length Markov models of behaviour
We present a novel approach for visual tracking of structured behaviour as observed in human–computer interaction. An automatically acquired variable-length Markov model is used to represent the high-level structure and temporal ordering of gestures. Continuous estimation of hand posture is handled by combining the model with annealed particle filtering. The stochastic simulation updates and automatically switches between different model representations of hand posture that correspond to distinct gestures. The implementation executes in real time and demonstrates significant improvement in robustness over comparable methods. We provide a measurement of user performance when our method is applied to a Fitts’ law drag-and-drop task, and an analysis of the effects of latency that it introduces. Ó 2007 Elsevier Inc. All rights reserved.
Nikolay Stefanov, Aphrodite Galata, Roger J. Hubbo
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where CVIU
Authors Nikolay Stefanov, Aphrodite Galata, Roger J. Hubbold
Comments (0)
books