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» Recognizing hand gestures using dynamic Bayesian network
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ECCV
2004
Springer
14 years 6 months ago
Hand Gesture Recognition within a Linguistics-Based Framework
An approach to recognizing human hand gestures from a monocular temporal sequence of images is presented. Of particular concern is the representation and recognition of hand movem...
Konstantinos G. Derpanis, Richard P. Wildes, John ...
CVPR
1999
IEEE
14 years 6 months ago
Shadow Gestures: 3D Hand Pose Estimation Using a Single Camera
This paper describes a system that uses a camera and a point light source to track a user's hand in three dimensions. Using depth cues obtained from projections of the hand a...
Jakub Segen, Senthil Kumar
IJISTA
2006
113views more  IJISTA 2006»
13 years 4 months ago
Extraction of mid-level semantics from gesture videos using a Bayesian network
In this paper a method for extraction of mid-level semantics from sign language videos is proposed, by employing high level domain knowledge. The semantics concern labeling of the ...
Dimitrios I. Kosmopoulos, Ilias Maglogiannis
PR
2006
112views more  PR 2006»
13 years 4 months ago
Understanding gestures with systematic variations in movement dynamics
Sign language communication includes not only lexical sign gestures but also grammatical processes which represent inflections through systematic variations in sign appearance. We...
Sylvie C. W. Ong, Surendra Ranganath, Yedatore Ven...
ICPR
2010
IEEE
13 years 4 months ago
Dynamic Hand Pose Recognition Using Depth Data
—Hand pose recognition has been a problem of great interest to the Computer Vision and Human Computer Interaction community for many years and the current solutions either requir...
Poonam Suryanarayan, Anbumani Subramanian, Dinesh ...