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Proceedings Paper

Prioritization And Classification Of Infrared Detections Using Dynamic Belief
Author(s): G. A. Roberts; L. H. Bradford; D. Gutfinger
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Paper Abstract

A method which forms beliefs and priorities for long range detected objects in Infrared imagery is described. Features such as the motion, context, and crude shape are used to form positive and negative evidence of the priority and class of the detections. The features that are used are described along with the method for calculating them. Two methods that determine the detection priority and class belief are also described and the result of using this belief system on several cinematic sequences is shown.

Paper Details

Date Published: 30 August 1989
PDF: 8 pages
Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); doi: 10.1117/12.960437
Show Author Affiliations
G. A. Roberts, Ford Aerospace (United States)
L. H. Bradford, Ford Aerospace (United States)
D. Gutfinger, Ford Aerospace (United States)

Published in SPIE Proceedings Vol. 1098:
Aerospace Pattern Recognition
Marshall R. Weathersby, Editor(s)

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