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3D Hand Gesture Recognition using the Hough TransformOPRISESCU, S. , BARTH, E.
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image processing, computer vision, gesture recognition, Kinect camera, Hough transform
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About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 71 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03012
Web of Science Accession Number: 000326321600012
SCOPUS ID: 84884965434
This paper presents an automatic 3D dynamic hand gesture recognition algorithm relying on both intensity and depth information provided by a Kinect camera. Gesture classification consists of a decision tree constructed on six parameters delivered by the Hough transform of projected 3D points. The Hough transform is originally applied, for the first time, on the projected gesture trajectories to obtain a reliable decision. The experimental data obtained from 300 video sequences with different subjects validate the proposed recognition method.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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