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Proceedings Paper

A robust target tracking algorithm for FLIR imagery
Author(s): Alex Lipchen Chan
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Paper Abstract

A robust target tracking algorithm is proposed to overcome a number of challenges often associated with the FLIR imagery. Several disjoint intermediate background models are used to form an accurate and dynamic representation of the current background. The signatures of moving targets are captured and enhanced through a set of image filters, while the next movements of these targets are reasonably estimated using a set of kinematic predictors. By integrating the effective target detection method with the robust background modeling process, an excellent target tracking performance can be achieved.

Paper Details

Date Published: 13 May 2010
PDF: 11 pages
Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 769603 (13 May 2010); doi: 10.1117/12.850449
Show Author Affiliations
Alex Lipchen Chan, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 7696:
Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI
Firooz A. Sadjadi; David P. Casasent; Steven L. Chodos; Abhijit Mahalanobis; William E. Thompson; Tien-Hsin Chao, Editor(s)

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