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Proceedings Paper

Multiple target-to-track association and track estimation system using a neural network
Author(s): Mark L. Yee; David P. Casasent
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Paper Abstract

A three-component system for tracking multiple moving objects is presented. A neural network is used to perform frame-to-frame data association. A Hough Transform system is used to perform multiple-frame data association and track correction. An estimation filter system is used to provide updated track estimates. The tracking ability of this integrated system is tested with realistic simulated flight trajectories. The system response to simulated measurement noise and estimation errors is detailed, and the interaction of the three system components to correct errors is illustrated. Optical processing is used in the neural net and Hough Transform systems.

Paper Details

Date Published: 1 August 1991
PDF: 12 pages
Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); doi: 10.1117/12.45672
Show Author Affiliations
Mark L. Yee, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 1481:
Signal and Data Processing of Small Targets 1991
Oliver E. Drummond, Editor(s)

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