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Proceedings Paper

IU for military and intelligence applications: how automatic will it get?
Author(s): Joseph L. Mundy
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Paper Abstract

Over the last 30 years, there have been steady and reasonably extensive R&D activities applied to the problem of interpreting image data automatically. The goal of much of this research has been directed either at automatic target recognition (ATR) or at the automation of the functions of intelligence image analysis. These efforts have greatly advanced our understanding of the nature of image content and what is necessary to describe it using computer algorithms. On the other hand, the goal of automatic interpretation of complex scenes and the recognition of targets in the presence of clutter and occlusion is still not formalized at the level of an engineering discipline. This paper reviews what the key issues are in achieving the automation of image understanding and provides examples of both success and still-unattainable interpretation capabilities.

Paper Details

Date Published: 26 February 1997
PDF: 9 pages
Proc. SPIE 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision, (26 February 1997); doi: 10.1117/12.267821
Show Author Affiliations
Joseph L. Mundy, GE Corporate Research and Development Ctr. (United States)

Published in SPIE Proceedings Vol. 2962:
25th AIPR Workshop: Emerging Applications of Computer Vision
David H. Schaefer; Elmer F. Williams, Editor(s)

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