17 March 2017 Real-time hand gesture recognition based on feature points extraction
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Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410H (2017) https://doi.org/10.1117/12.2268537
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
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.
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Soumaya Zaghbani, Neziha Jaouedi, Noureddine Boujnah, Mohamed Salim Bouhlel, "Real-time hand gesture recognition based on feature points extraction", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410H (17 March 2017); doi: 10.1117/12.2268537; https://doi.org/10.1117/12.2268537
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