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Proceedings Paper

Automatic cuing of human-in-the-loop detection system
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Paper Abstract

Rapid detection of landmines and explosive hazards is a critical issue for modern military operations. Due to the varied nature of the objects of interest and the complexity of the surrounding, one approach is to utilize the superior recognition capabilities of the human brain in the detection process. We are developing frameworks and algorithms to fuse image data from multiple sources and to provide cuing capability for a human-in-the-loop detection system.

Paper Details

Date Published: 4 May 2009
PDF: 12 pages
Proc. SPIE 7303, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, 73032C (4 May 2009); doi: 10.1117/12.820365
Show Author Affiliations
James M. Keller, Univ. of Missouri, Columbia (United States)
Kevin E. Stone, Univ. of Missouri, Columbia (United States)
Dominic K. C. Ho, Univ. of Missouri, Columbia (United States)
Mihail Popescu, Univ. of Missouri, Columbia (United States)


Published in SPIE Proceedings Vol. 7303:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

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