• DocumentCode
    2970728
  • Title

    3-D articulated pose tracking for untethered diectic reference

  • Author

    Demirdjian, David ; Darrell, Trevor

  • Author_Institution
    Artificial Intelligence Lab., MIT, Cambridge, MA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    Arm and body pose are useful cues for diectic reference - users naturally extend their arms to objects of interest in a dialog. We present recent progress on untethered sensing of articulated arm and body configuration using robust stereo vision techniques. These techniques allow robust, accurate, real-time tracking of 3D position and orientation. We demonstrate users´ performance with our system on object selection tasks and describe our initial efforts to integrate this system into a multimodal conversational dialog framework.
  • Keywords
    gesture recognition; image motion analysis; real-time systems; stereo image processing; tracking; user interfaces; 3D articulated pose tracking; 3D position; arm pose; articulated arm-body configuration; body pose; multimodal conversational dialog; object selection tasks; orientation; real-time tracking; robust stereo vision techniques; untethered diectic reference; user interface; Arm; Artificial intelligence; Face detection; Fingers; Iterative closest point algorithm; Real time systems; Robustness; Shape; Skin; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimodal Interfaces, 2002. Proceedings. Fourth IEEE International Conference on
  • Print_ISBN
    0-7695-1834-6
  • Type

    conf

  • DOI
    10.1109/ICMI.2002.1167005
  • Filename
    1167005