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Optical Engineering

Three-dimensional attitude estimation and tracking with linear normalized optimal filtering
Author(s): Sylvie G. Tonda; Philippe Refregier
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Paper Abstract

We propose a 3-D target attitude estimation method based on linear optimal filtering and prediction algorithms. Through the use of correlation filters, the estimations of the 3-D attitude and scale of the target enable us to predict the temporal trajectory of the target and to perform a robust tracking. We propose a strategy to maintain a low number of correlations and thus to reduce the computational burden and the processing time. We demonstrate the efficiency of this approach in the case of optimal trade-off filters and sequences of noisy images.

Paper Details

Date Published: 1 April 1997
PDF: 7 pages
Opt. Eng. 36(4) doi: 10.1117/1.601279
Published in: Optical Engineering Volume 36, Issue 4
Show Author Affiliations
Sylvie G. Tonda, Thomson-CSF (France)
Philippe Refregier, Ecole Nationale Superieure de Physique de Marseill (France)

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