Real-time hand gesture recognition based on feature points extraction

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationNinth International Conference on Machine Vision, ICMV 2016
EditorsDmitry P. Nikolaev, Antanas Verikas, Jianhong Zhou, Petia Radeva, Wei Zhang
PublisherSPIE
ISBN (Electronic)9781510611313
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event9th International Conference on Machine Vision, ICMV 2016 - Nice, France
Duration: 18 Nov 201620 Nov 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10341
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference9th International Conference on Machine Vision, ICMV 2016
Country/TerritoryFrance
CityNice
Period18/11/201620/11/2016

Keywords

  • Canny filter.
  • features extraction
  • Hand tracking
  • Harris detector
  • Kalman filter

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