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» Recognizing hand gestures using dynamic Bayesian network
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99
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PR
2010
102views more  PR 2010»
14 years 11 months ago
Hand gesture recognition based on dynamic Bayesian network framework
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
97
Voted
WACV
2005
IEEE
15 years 6 months ago
Simultaneous Localization and Recognition of Dynamic Hand Gestures
A method for the simultaneous localization and recognition of dynamic hand gestures is proposed. At the core of this method is a dynamic space-time warping (DSTW) algorithm, that ...
Jonathan Alon, Vassilis Athitsos, Quan Yuan, Stan ...
CVPR
1999
IEEE
16 years 3 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
125
Voted
ROBOCUP
2009
Springer
289views Robotics» more  ROBOCUP 2009»
15 years 5 months ago
Real-Time Hand Gesture Recognition for Human Robot Interaction
In this article a hand gesture recognition system that allows interacting with a service robot, in dynamic environments and in real-time, is proposed. The system detects hands and ...
Mauricio Correa, Javier Ruiz-del-Solar, Rodrigo Ve...
120
Voted
ICPR
2008
IEEE
15 years 7 months ago
A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory
In this paper, we propose an automatic system that recognizes both isolated and continuous gestures for Arabic numbers (0-9) in real-time based on Hidden Markov Model (HMM). To ha...
Mahmoud Elmezain, Ayoub Al-Hamadi, Jörg Appen...