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Optical Engineering

Automatic target tracking in forward-looking infrared video sequences using tuned basis functions
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Paper Abstract

Tuned basis function (TBF) is a powerful technique for classification of two classes by transforming them into a new space, where both classes will have complementary eigenvectors. A target discrimination technique can be described based on these complementary eigenvector analyses under two classes: (1) target and (2) background clutter, where basis functions that best represent the desired targets form one class while the complementary basis functions form the second class. Since the TBF does not require pixel-based preprocessing, it provides significant advantages for target tracking applications. Furthermore, efficient eigenvector selection and subframe segmentation significantly reduce the computation burden of the target tracking algorithm. The performance of the proposed TBF-based target tracking algorithm has been tested using real-world forward looking infrared video sequences.

Paper Details

Date Published: 21 July 2016
PDF: 6 pages
Opt. Eng. 55(7) 073102 doi: 10.1117/1.OE.55.7.073102
Published in: Optical Engineering Volume 55, Issue 7
Show Author Affiliations
Abdullah Bal, Yildiz Technical Univ. (Turkey)
Mohammad S. Alam, Univ. of South Alabama (United States)

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