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Proceedings Paper

Tracking point targets at sub-pixel accuracy in adaptive coded aperture imagery without decoding
Author(s): Kevin Gilholm; Christopher W. Slinger; Neil T. Gordon; Kevin Ridley; Helen Bennett; Mark McNie
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Paper Abstract

Coded aperture imagery poses a challenge for traditional image tracking algorithms because of the highly distributed nature of the coded imagery. Traditional algorithms would require this imagery to undergo a computationally expensive decoding operation before subsequent processing and tracking. In this paper, a novel tracking algorithm is described that can track point-source targets at sub-pixel accuracy without requiring the coded aperture imagery to be decoded. Furthermore, it is shown that the algorithm is robust to changes in the coded aperture mask pattern, and so is suitable for use in adaptive coded aperture imaging systems. Some results of the algorithm on synthetic and initial MWIR experimental data will be given.

Paper Details

Date Published: 27 August 2010
PDF: 14 pages
Proc. SPIE 7818, Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II, 781808 (27 August 2010); doi: 10.1117/12.861150
Show Author Affiliations
Kevin Gilholm, QinetiQ Ltd. (United Kingdom)
Christopher W. Slinger, QinetiQ Ltd. (United Kingdom)
Neil T. Gordon, QinetiQ Ltd. (United Kingdom)
Kevin Ridley, QinetiQ Ltd. (United Kingdom)
Helen Bennett, QinetiQ Ltd. (United Kingdom)
Mark McNie, QinetiQ Ltd. (United Kingdom)


Published in SPIE Proceedings Vol. 7818:
Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II
Jean J. Dolne; Stanley Rogers; Thomas J. Karr; David P. Casasent; Victor L. Gamiz, Editor(s)

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