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Optical Engineering

Bayesian target location in images
Author(s): Vincent Laude; Stephane Formont
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Paper Abstract

We apply Bayesian parameter estimation theory to the problem of locating a known target in an image. We investigate the incorporation of prior information regarding the target location, the presence of a background, the target illumination, and the assumption of spatially disjoint target and background. We obtain the posterior probability density functions for the target location in these different cases, together with the corresponding maximum a posteriori (MAP) estimators. These results generalize and highlight some previously introduced solutions...

Paper Details

Date Published: 1 October 1997
PDF: 11 pages
Opt. Eng. 36(10) doi: 10.1117/1.601315
Published in: Optical Engineering Volume 36, Issue 10
Show Author Affiliations
Vincent Laude, Thomson-CSF (France)
Stephane Formont, Thomson-CSF (France)

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