Real-time hand gesture recognition based on feature points extraction
Soumaya Zaghbani, Neziha Jaouedi, Noureddine Boujnah, Med Salim Bouhlel · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
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.