3/2013 - 12 |
3D Hand Gesture Recognition using the Hough TransformOPRISESCU, S. , BARTH, E. |
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Author keywords
image processing, computer vision, gesture recognition, Kinect camera, Hough transform
References keywords
gesture(11), recognition(10)
Blue keywords are present in both the references section and the paper title.
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
Abstract
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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[1] LPI: learn postures for interactions, Raees, Muhammad, Ullah, Sehat, Machine Vision and Applications, ISSN 0932-8092, Issue 6, Volume 32, 2021.
Digital Object Identifier: 10.1007/s00138-021-01235-0 [CrossRef]
[2] A New Contactless Fault Diagnosis Approach for Pantograph-Catenary System Using Pattern Recognition and Image Processing Methods, AYDIN, I., KARAKOSE, M., AKIN, E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.03010 [CrossRef] [Full text]
[3] Thumb Inclination-Based Manipulation and Exploration, a Machine Learning Based Interaction Technique for Virtual Environments, Raees, Muhammad, Ullah, Sehat, Rehman, Inam Ur, Azhar, Muhammad, Mehran University Research Journal of Engineering and Technology, ISSN 0254-7821, Issue 2, Volume 40, 2021.
Digital Object Identifier: 10.22581/muet1982.2102.10 [CrossRef]
[4] Railway pantograph contact strip monitoring through image processing techniques, Strano, Salvatore, Terzo, Mario, Tordela, Ciro, 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI), ISBN 978-1-6654-4135-3, 2021.
Digital Object Identifier: 10.1109/RTSI50628.2021.9597322 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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