1 September 2004 Invariant object tracking using fringe-adjusted joint transform correlator
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Abstract
A novel real-time-invariant target tracking algorithm is proposed for forward-looking IR (FLIR) image sequences based on a modified synthetic discriminant function (SDF)-based fringe-adjusted joint transform correlator (JTC) algorithm. The proposed approach utilizes fringe-adjusted JTC-based tracking, which efficiently compensates camera motion and accommodates 3-D distortions. To further increase the tracking accuracy, the target model is continuously updated using a modified version of the synthetic discriminant function (SDF) algorithm. The proposed technique can track small objects comprising only a few pixels and is capable of compensating the high egomotion of the sensor. We demonstrate the robustness of the proposed technique by computer simulation performed on sequences of real-life FLIR imagery taken from an airborne moving platform.
©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)
Chye-Hwa Chye Hwa Loo and Mohammad S. Alam "Invariant object tracking using fringe-adjusted joint transform correlator," Optical Engineering 43(9), (1 September 2004). https://doi.org/10.1117/1.1779622
Published: 1 September 2004
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CITATIONS
Cited by 18 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Forward looking infrared

Image segmentation

Target detection

Image processing

Infrared imaging

Optical tracking

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