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Proceedings Paper

Three-dimensional attitude estimation and tracking by multicorrelation technique with normalized optimal trade-off filters
Author(s): Sylvie G. Tonda; Philippe Refregier
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Paper Abstract

We introduce a three-dimensional target attitude estimation method based on the linear optimal filtering and the signal processing prediction algorithms. By estimating the three- dimensional attitude and the scale of the target, we are able to predict the temporal trajectory of the target and to perform a robust tracking. Most cases of parameter estimation with the help of correlation deal with the two- dimensional estimation of position, scale and object rotation. Treating a three-dimensional parameter estimation problem leads to an increase in the number of correlation filters. We propose a strategy to reduce the number of correlations and thus reduce the computational burden and the processing time. We demonstrate the efficiency of the strategy in the case of optimal trade-off filters.

Paper Details

Date Published: 7 June 1996
PDF: 12 pages
Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); doi: 10.1117/12.242006
Show Author Affiliations
Sylvie G. Tonda, Thomson-CSF (France)
Philippe Refregier, Ecole Nationale Superieure de Physique de Marseille (France)


Published in SPIE Proceedings Vol. 2751:
Hybrid Image and Signal Processing V
David P. Casasent; Andrew G. Tescher, Editor(s)

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