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Proceedings Paper

Data fusion based target tracking in FLIR imagery
Author(s): M. S. Alam
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Paper Abstract

In this paper, we review the recent trends and advancements in decision fusion based target tracking in FLIR image sequences. In particular, we discuss four target tracking algorithms and two data fusion algorithms that have been used for single/multiple target detection and tracking purposes. Each tracking algorithm utilizes various properties of targets and image frames of a given sequence. The data fusion algorithms employ complementary features of two or more of the above mentioned algorithms. The data fusion technique has been found to yield better performance compared to the alternate algorithms as shown by the test results obtained using real life FLIR image sequences.

Paper Details

Date Published: 13 April 2009
PDF: 11 pages
Proc. SPIE 7340, Optical Pattern Recognition XX, 73400E (13 April 2009); doi: 10.1117/12.819479
Show Author Affiliations
M. S. Alam, Univ. of South Alabama (United States)

Published in SPIE Proceedings Vol. 7340:
Optical Pattern Recognition XX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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