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Proceedings Paper

Subpixel Target Detection And Tracking
Author(s): D. Casasent; B.V.K. Vijaya Kumar; Y. L. Lin
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Paper Abstract

Six different algorithms (Single Differencing, Double Differencing, Linear Interpolated Differencing, Parabolic Interpolated Differencing, Spatial Differencing and Spatial Filtering) are investigated to judge their ability to track subpixel targets in moving background and additive noise. This investigation used a set of computer generated imagery for the targets, background and the additive noise. Based on this extensive simulation study, guidelines are provided about the selection of the algorithms.

Paper Details

Date Published: 27 March 1987
PDF: 16 pages
Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937731
Show Author Affiliations
D. Casasent, Carnegie Mellon University (United States)
B.V.K. Vijaya Kumar, Carnegie Mellon University (United States)
Y. L. Lin, Carnegie Mellon University (United States)


Published in SPIE Proceedings Vol. 0726:
Intelligent Robots and Computer Vision V
David P. Casasent, Editor(s)

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