Bayesian target location in images

Vincent Laude; Stephane Formont

doi:10.1117/1.601315

1 October 1997 Bayesian target location in images

Vincent Laude, Stephane Formont

Optical Engineering, Vol. 36, Issue 10, (October 1997). https://doi.org/10.1117/1.601315

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...

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Vincent Laude and Stephane Formont "Bayesian target location in images," Optical Engineering 36(10), (1 October 1997). https://doi.org/10.1117/1.601315

Published: 1 October 1997

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