Imaging Components, Systems, and Processing

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

[+] Author Affiliations
Abdullah Bal

Yildiz Technical University, Department of Electronics and Communications Engineering, Davutpasa 34220, Istanbul, Turkey

Mohammad S. Alam

University of South Alabama, Department of Electrical and Computer Engineering, Mobile, Alabama 36688, United States

Opt. Eng. 55(7), 073102 (Jul 21, 2016). doi:10.1117/1.OE.55.7.073102
History: Received January 11, 2016; Accepted July 6, 2016
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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.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Abdullah Bal and Mohammad S. Alam
"Automatic target tracking in forward-looking infrared video sequences using tuned basis functions", Opt. Eng. 55(7), 073102 (Jul 21, 2016). ; http://dx.doi.org/10.1117/1.OE.55.7.073102


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