Tracking points within noisy images

Garry A Einicke

doi:10.1117/12.547322

25 May 2004 Tracking points within noisy images

Garry A Einicke

Proceedings Volume 5473, Noise in Communication; (2004) https://doi.org/10.1117/12.547322
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain

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.

Citation Download Citation

Garry A Einicke "Tracking points within noisy images", Proc. SPIE 5473, Noise in Communication, (25 May 2004); https://doi.org/10.1117/12.547322

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