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» HMM parameter reduction for practical gesture recognition
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ICVGIP
2004
13 years 6 months ago
Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition
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...
Vinay D. Shet, V. Shiv Naga Prasad, Ahmed M. Elgam...
CVPR
1998
IEEE
14 years 7 months ago
Nonlinear PHMMs for the Interpretation of Parameterized Gesture
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...
Andrew D. Wilson, Aaron F. Bobick
ICCV
2001
IEEE
14 years 7 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
TASLP
2002
124views more  TASLP 2002»
13 years 4 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
ICMI
2003
Springer
133views Biometrics» more  ICMI 2003»
13 years 10 months ago
Mouthbrush: drawing and painting by hand and mouth
We present a novel multimodal interface which permits users to draw or paint using coordinated gestures of hand and mouth. A headworn camera captures an image of the mouth and the...
Chi-Ho Chan, Michael J. Lyons, Nobuji Tetsutani