Real-time hand gesture recognition based on feature points extraction

Soumaya Zaghbani; Neziha Jaouedi; Noureddine Boujnah; Mohamed Salim Bouhlel

doi:10.1117/12.2268537

17 March 2017 Real-time hand gesture recognition based on feature points extraction

Soumaya Zaghbani, Neziha Jaouedi, Noureddine Boujnah, Mohamed Salim Bouhlel

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.

Citation Download Citation

Soumaya Zaghbani, Neziha Jaouedi, Noureddine Boujnah, and 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); https://doi.org/10.1117/12.2268537

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available