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Proceedings Paper

Algorithms for tracking point targets in infrared sequences
Author(s): L. Varsano; V. Adler; S. R. Rotman
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Paper Abstract

This research addresses the problem of tracking a moving point target from a time sequence of images. The images consist of targets moving at sub-pixel velocity in backgrounds which are influenced by both evolving clutter and noise. The demand for a low false alarm rate on one hand and a high probability of detection on the other makes the tracking a challenging task. We propose the following algorithm in which target detection and tracking is performed by the means of time domain processing. A variance-filter based algorithm is used to detect the presence of targets from the temporal profile of each pixel while suppressing clutter specific influences.

Paper Details

Date Published: 11 October 2005
PDF: 8 pages
Proc. SPIE 5987, Electro-Optical and Infrared Systems: Technology and Applications II, 59870W (11 October 2005); doi: 10.1117/12.629329
Show Author Affiliations
L. Varsano, Ben-Gurion Univ. of the Negev (Israel)
V. Adler, Ben-Gurion Univ. of the Negev (Israel)
S. R. Rotman, Ben-Gurion Univ. of the Negev (Israel)

Published in SPIE Proceedings Vol. 5987:
Electro-Optical and Infrared Systems: Technology and Applications II
Ronald G. Driggers; David A. Huckridge, Editor(s)

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