• DocumentCode
    327663
  • Title

    Fast and accurate 3D gesture recognition interface

  • Author

    Segen, Jakub ; Kumar, Senthil

  • Author_Institution
    AT&T Bell Labs., Holmdel, NJ, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    86
  • Abstract
    A video-based gesture recognition system can serve as a natural and accurate 3D user input device. We describe a two-camera system, that recognizes three gesture classes: two static and one dynamic. For one of these gestures (pointing), the system estimates five parameters of 3D pose: position and pointing direction. The recognition is robust, independent of the user and fast (60 Hz), and the estimated pose is very stable. We describe some of the interface applications that demonstrate the benefits of the system: control of a video game, piloting a virtual reality fly-through, and interaction with a 3D scene editor
  • Keywords
    feature extraction; gesture recognition; image classification; image motion analysis; video signal processing; 3D gesture recognition interface; 3D pose; 3D scene editor; two-camera system; video game; video-based gesture recognition system; virtual reality fly-through; Cameras; Computer interfaces; Computer vision; Identity-based encryption; Layout; Machine vision; Mice; Parameter estimation; Space technology; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711086
  • Filename
    711086