Answers are grounded in this paper and cite their sources.
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.
No takes yet. Share an insight, caveat, or question.
Alam et al. (2014) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: