18 search results - page 1 / 4 » Learning Dynamics for Exemplar-based Gesture Recognition |
ICVGIP
2004
13 years 6 months ago
2004
This paper presents an approach for a multi-cue, viewbased recognition of gestures. We describe an exemplarbased technique that combines two different forms of exemplars - shape e...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
The scope of this paper is the interpretation of a user's intention via a video camera and a speech recognizer. In comparison to previous work which only takes into account g...
HCI
2009
13 years 2 months ago
2009
Real-time, static and dynamic hand gesture learning and recognition makes it possible to have computers recognize hand gestures naturally. This creates endless possibilities in the...
FLAIRS
2008
13 years 6 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...