• DocumentCode
    2387638
  • Title

    Applications of omnidirectional imaging: multi-body tracking and remote reality

  • Author

    Boult, Terry ; Qian, Chen ; Yin, Weihong ; Erkin, Ali ; Lewis, Peter ; Power, Chris ; Micheals, Ross

  • Author_Institution
    Vision & Software Technol. Lab., Lehigh Univ., Bethlehem, PA, USA
  • fYear
    1998
  • fDate
    19-21 Oct 1998
  • Firstpage
    242
  • Lastpage
    243
  • Abstract
    Recently, S. Nayar (1997) introduced a parabolic imaging system that has a field of view of a full hemisphere or more. When used with a video camera the result is an omni-directional video stream that captures everything going around it. In the VAST Lab at Lehigh, we have been experimenting with these cameras, developing new variants, and developing omni-directional vision applications. We present an overview of omni-directional imaging and then two of our applications which we will be demonstrating. The first application is a frame-rate multi-body tracking system. The system uses an omni-directional imager and a standard PC to track multiple moving objects in all directions. The system is designed to provide perspective views of the most significant targets, either locally or over a network. The second application is something we call Remote Reality, which provides an immersive environment via omnidirectional imaging. It can use live or pre-recorded video from a remote location. While less interactive than traditional VR, remote reality has important advantages: there is no need for “model building” and the objects, textures and motions are not graphical approximations
  • Keywords
    image processing; optical tracking; virtual reality; frame-rate; multi-body tracking; multiple moving objects; omnidirectional imaging; perspective views; remote reality; Application software; Cameras; Focusing; Image resolution; Lenses; Mirrors; Optical imaging; Spatial resolution; Table lookup; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    0-8186-8606-5
  • Type

    conf

  • DOI
    10.1109/ACV.1998.732889
  • Filename
    732889