Paper
30 August 1989 Prioritization And Classification Of Infrared Detections Using Dynamic Belief
G. A. Roberts, L. H. Bradford, D. Gutfinger
Author Affiliations +
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. A. Roberts, L. H. Bradford, and D. Gutfinger "Prioritization And Classification Of Infrared Detections Using Dynamic Belief", Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); https://doi.org/10.1117/12.960437
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Cited by 1 scholarly publication.
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KEYWORDS
Motion detection

Video

Aerospace engineering

Image filtering

Motion estimation

Pattern recognition

Motion measurement

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