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Proceedings Paper

Real-time hand gesture recognition based on feature points extraction
Author(s): Soumaya Zaghbani; Neziha Jaouedi; Noureddine Boujnah; Mohamed Salim Bouhlel
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Paper Abstract

Tracking moving objects is an area increasingly known in computer vision field. It plays a very important role in human-computer interaction. In this context we have developed a hand tracking and gesture recognition system that allows interaction with the machine in an intuitive and natural way. To ensure the tracking we apply the Kalman filter and detect the optimal points of the hand in order to determine the gesture expressed by user.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410H (17 March 2017); doi: 10.1117/12.2268537
Show Author Affiliations
Soumaya Zaghbani, Univ. of Gabès (Tunisia)
Neziha Jaouedi, Univ. of Gabès (Tunisia)
Noureddine Boujnah, Univ. of Gabès (Tunisia)
Mohamed Salim Bouhlel, Institut Supérieur de Biotechnologie de Sfax (Tunisia)

Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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