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Proceedings Paper

Motion Filtering For Target Extraction And Tracking In Infrared Images
Author(s): David Thomas; Ishwar K. Sethi; Vali Salari
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Paper Abstract

A critical problem in automatic target recognition is the extraction and tracking of moving targets in high clutter, low resolution, low contrast thermal imagery. This problem is further exacerbated by the large distances that typically exist between the sensor and the targets. In this paper, a new paradigm called motion filtering is presented for exploiting motion to extract and track targets. The main feature of the present approach is the emphasis on the motion information. Experimental results from two sequences of tactical situations are presented to exemplify the capabilities of the proposed approach.

Paper Details

Date Published: 29 March 1988
PDF: 9 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947014
Show Author Affiliations
David Thomas, US Army TACOM (United States)
Ishwar K. Sethi, Wayne State University (United States)
Vali Salari, Wayne State University (United States)


Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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