Target-motion modeling based on time series and Kalman filtering

Sergi Casas; Gabriel A. Oliver; Joan Frau; R. Planas; Joseph Fernandez

doi:10.1117/12.150314

6 August 1993 Target-motion modeling based on time series and Kalman filtering

Sergi Casas, Gabriel A. Oliver, Joan Frau, R. Planas, Joseph Fernandez

Proceedings Volume 2064, Machine Vision Applications, Architectures, and Systems Integration II; (1993) https://doi.org/10.1117/12.150314
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Sergi Casas, Gabriel A. Oliver, Joan Frau, R. Planas, and Joseph Fernandez "Target-motion modeling based on time series and Kalman filtering", Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); https://doi.org/10.1117/12.150314

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