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Proceedings Paper

Evaluation of image tracker algorithms
Author(s): William C. Marshall
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Paper Abstract

This paper presents the results of applying a digital simulation of three conventional image- tracking algorithms to the task of tracking a synthetic target image in the presence of both moving background clutter and sensor noise. The background clutter model is based on two- dimensional correlated noise equations and is repeatable for each test. The Fortran listings of the clutter algorithm are given. Centroid, correlation, and a feature-matching algorithms were used for testing, with a simple criterion for adequacy of tracking. Results are shown with clutter signal-to-noise ratio (SNR) plotted against sensor SNR, which illustrates the relative merit of each tracking algorithm.

Paper Details

Date Published: 1 July 1991
PDF: 12 pages
Proc. SPIE 1483, Signal and Image Processing Systems Performance Evaluation, Simulation, and Modeling, (1 July 1991); doi: 10.1117/12.45743
Show Author Affiliations
William C. Marshall, Honeywell Systems and Research Ctr. (United States)

Published in SPIE Proceedings Vol. 1483:
Signal and Image Processing Systems Performance Evaluation, Simulation, and Modeling
Hatem N. Nasr; Michael E. Bazakos, Editor(s)

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