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
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