• DocumentCode
    398289
  • Title

    Gesture recognition using position and appearance features

  • Author

    Agrawal, Tushar ; Chaudhuri, Subhasis

  • Author_Institution
    Indian Inst. of Technol., Mumbai, India
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Sept. 2003
  • Abstract
    In this paper a scheme for recognizing hand gestures is presented using the output of a condensation tracker. The tracker is used to obtain a set of features. These features consisting of temporal evolution of the spatial moments form high dimensional feature vectors. The principal components of the feature trajectories are used to recognize the gestures.
  • Keywords
    feature extraction; gesture recognition; condensation tracker; hand gestures recognition; high dimensional feature vectors; spatial moments; Application software; Cameras; Handicapped aids; Haptic interfaces; Hidden Markov models; Human robot interaction; Humanoid robots; Image recognition; Telerobotics; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7750-8
  • Type

    conf

  • DOI
    10.1109/ICIP.2003.1246628
  • Filename
    1246628
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=398289