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

Sensors

Mohammad S. Alam¹ 

[1] Department of Electrical and Computer Engineering, University of South, Alabama Mobile, AL 36688-0002, USA

关键词: patter recognition;    target tracking;    forward looking infra-red (flir) imagery;    correlation filter;   

DOI  :  10.3390/s140813437

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.