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A knowledge-based approach to the detection, tracking and classification of target formations in infrared image sequences

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3 Author(s)
Bronskill, J.F. ; Honeywell Ltd., Markham, Ont., Canada ; Hepburn, J. ; Au, W.K.

A knowledge-based approach to the detection, tracking, and classification of ground-based formations of point targets in sequences of digitized forward-looking infrared (FLIR) image sequences is presented. The system has two components: a point target detector and tracker (PTD) which processes the image sequences and supplies candidate point targets to the knowledge-based target formation detector for clustering into formations, which are then classified as linear, V, and the like. The system has been implemented in software written in C and Common Lisp and evaluated on a variety of FLIR image sequences. The results indicate that, in all cases, the knowledge base improves system performance over that attained by the PTD alone

Published in:

Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on

Date of Conference:

4-8 Jun 1989