@inproceedings{bed3146c00cc452a9f30c64dc03cbe40,
title = "Real-time hand gesture recognition based on feature points extraction",
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.",
keywords = "Canny filter., features extraction, Hand tracking, Harris detector, Kalman filter",
author = "Soumaya Zaghbani and Neziha Jaouedi and Noureddine Boujnah and Bouhlel, {Mohamed Salim}",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; null ; Conference date: 18-11-2016 Through 20-11-2016",
year = "2017",
doi = "10.1117/12.2268537",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Nikolaev, {Dmitry P.} and Antanas Verikas and Jianhong Zhou and Petia Radeva and Wei Zhang",
booktitle = "Ninth International Conference on Machine Vision, ICMV 2016",
address = "United States",
}