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Proceedings Paper

Tracking points within noisy images
Author(s): Garry A Einicke
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Paper Abstract

The paper derives an optimal fixed interval smoother for the linear time invariant output estimation problem. The smoother employs forward and adjoint Kalman predictors. The suboptimal time-varying case is discussed which includes the use of forward and adjoint extended Kalman predictors within a nonlinear smoother. The efficacy of the smoother to tracking points within sequences of noisy images is investigated. The results of a simulation study are presented in which it is demonstrated that a Kalman filter can outperform a so-called matched filter, and a fixed interval smoother can provide a further performance improvement when the images are sufficiently noisy.

Paper Details

Date Published: 25 May 2004
PDF: 7 pages
Proc. SPIE 5473, Noise in Communication, (25 May 2004); doi: 10.1117/12.547322
Show Author Affiliations
Garry A Einicke, CSIRO (Australia)

Published in SPIE Proceedings Vol. 5473:
Noise in Communication
Langford B. White, Editor(s)

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