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11 October 2005 Algorithms for tracking point targets in infrared sequences
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This research addresses the problem of tracking a moving point target from a time sequence of images. The images consist of targets moving at sub-pixel velocity in backgrounds which are influenced by both evolving clutter and noise. The demand for a low false alarm rate on one hand and a high probability of detection on the other makes the tracking a challenging task. We propose the following algorithm in which target detection and tracking is performed by the means of time domain processing. A variance-filter based algorithm is used to detect the presence of targets from the temporal profile of each pixel while suppressing clutter specific influences.
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L. Varsano, V. Adler, and S. R. Rotman "Algorithms for tracking point targets in infrared sequences", Proc. SPIE 5987, Electro-Optical and Infrared Systems: Technology and Applications II, 59870W (11 October 2005);

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