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Proceedings Paper

Target-motion modeling based on time series and Kalman filtering
Author(s): Sergi Casas; Gabriel A. Oliver; Joan Frau; R. Planas; Joseph Fernandez
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Paper Abstract

This paper introduces the main issues involved in modelling the motion of a target that evolves in a 3D environment and presents a new approach to this sort of problem. The results are compared to those obtained through a whole family of polynomial curve-fitting algorithms based on statistical optimization and those called SMOP and MOCPA.

Paper Details

Date Published: 6 August 1993
PDF: 9 pages
Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); doi: 10.1117/12.150314
Show Author Affiliations
Sergi Casas, Hewlett-Packard Espana (Spain)
Gabriel A. Oliver, Univ. de les Illes Balears (Spain)
Joan Frau, GESA (Spain)
R. Planas, Univ. Politecnica de Catalunya (Spain)
Joseph Fernandez, Univ. Politecnica de Catalunya (Spain)

Published in SPIE Proceedings Vol. 2064:
Machine Vision Applications, Architectures, and Systems Integration II
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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