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Proceedings Paper

Surveillance video with spatially registered graphics for decision support
Author(s): Anthony Majoros; John Ianni; Paul Davies; Robert Higgins; Paul Havig
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Paper Abstract

Conventional daylight video, and other forms of motion imagery, have an expanded role in communication and decision making as sensor platforms (e.g., unoccupied aerial vehicles [UAVs]) proliferate. Video, of course, enables more persons to become observers than does direct viewing, and presents a rapidly growing volume of content for those observers to understand and integrate. However, knowing the identity of objects and gaining an awareness of situations depicted in video can be challenging as the number of camera feeds increases, or as multiple decision makers rely on the same content. Graphic additions to streaming video, spatially registered and appearing to be parts of the observed scene, can draw attention to specific content, reduce uncertainty, increase awareness of evolving situations, and ultimately produce a type of image-based communication that reduces the need for verbal interaction among observers. This paper describes how streaming video can be enhanced for decision support using feature recognition and tracking; object identification, graphic retrieval and positioning; and collaborative capabilities.

Paper Details

Date Published: 30 April 2007
PDF: 9 pages
Proc. SPIE 6559, Enhanced and Synthetic Vision 2007, 65590N (30 April 2007); doi: 10.1117/12.736929
Show Author Affiliations
Anthony Majoros, The Boeing Co. (United States)
John Ianni, Air Force Research Lab. (United States)
Paul Davies, The Boeing Co. (United States)
Robert Higgins, The Boeing Co. (United States)
Paul Havig, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 6559:
Enhanced and Synthetic Vision 2007
Jacques G. Verly; Jeff J. Guell, Editor(s)

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