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Sensors 2014, 14(8), 13437-13475; doi:10.3390/s140813437

Trends in Correlation-Based Pattern Recognition and Tracking in Forward-Looking Infrared Imagery

1
Department of Electrical and Computer Engineering, University of South, Alabama Mobile, AL 36688-0002, USA
2
Department of Electrical Engineering, Tuskegee University, Tuskegee, AL 36088, USA
*
Author to whom correspondence should be addressed.
Received: 18 June 2014 / Revised: 16 July 2014 / Accepted: 16 July 2014 / Published: 24 July 2014
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Abstract

In this paper, we review the recent trends and advancements on correlation-based pattern recognition and tracking in forward-looking infrared (FLIR) imagery. In particular, we discuss matched filter-based correlation techniques for target detection and tracking which are widely used for various real time applications. We analyze and present test results involving recently reported matched filters such as the maximum average correlation height (MACH) filter and its variants, and distance classifier correlation filter (DCCF) and its variants. Test results are presented for both single/multiple target detection and tracking using various real-life FLIR image sequences. View Full-Text
Keywords: patter recognition; target tracking; forward looking infra-red (flir) imagery; correlation filter patter recognition; target tracking; forward looking infra-red (flir) imagery; correlation filter
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Alam, M.S.; Bhuiyan, S.M.A. Trends in Correlation-Based Pattern Recognition and Tracking in Forward-Looking Infrared Imagery. Sensors 2014, 14, 13437-13475.

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