1 July 1991 Evaluation of image tracker algorithms
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William C. Marshall, "Evaluation of image tracker algorithms", Proc. SPIE 1483, Signal and Image Processing Systems Performance Evaluation, Simulation, and Modeling, (1 July 1991); doi: 10.1117/12.45743; https://doi.org/10.1117/12.45743
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