Paper
22 October 2004 Invariant FJTC-based multitarget tracking in FLIR video sequences
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Abstract
A near real-time invariant multi-target tracking algorithm based on the fringe-adjusted joint transform correlator (FJTC) technique is proposed for forward looking infra-red (FLIR) image sequences. The proposed FJTC based tracking approach uses a modified synthetic discriminant function (SDF) concept together with an efficient camera motion compensation technique to accommodate the problem of target signature variation due to 3D distortions and noise. The proposed technique can track small objects comprising of only a few pixels and is capable of compensating the high ego-motion of the sensor. The robustness of the proposed technique is demonstrated with computer simulation performed on sequences of real life FLIR imagery taken from an airborne moving platform.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chye Hwa C. Loo and Mohammad S. Alam "Invariant FJTC-based multitarget tracking in FLIR video sequences", Proc. SPIE 5557, Optical Information Systems II, (22 October 2004); https://doi.org/10.1117/12.559960
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Cited by 1 scholarly publication.
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KEYWORDS
Forward looking infrared

Detection and tracking algorithms

Target detection

Image processing

Image segmentation

Cameras

Sensors

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