Prioritization And Classification Of Infrared Detections Using Dynamic Belief
- 30 August 1989
- proceedings article
- Published by SPIE-Intl Soc Optical Eng
- Vol. 1098, 182-189
- https://doi.org/10.1117/12.960437
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 SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.Keywords
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