A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework (2002)
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BibTeX
@TECHREPORT{Soto02aprobabilistic,
author = {Alvaro Soto and John Dolan and Owen Carmichael and Peng Chang and Sal Desiano and Soshi Iba and Pragyana Mishra},
title = {A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework},
institution = {},
year = {2002}
}
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Abstract
Most current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. As the state of the world evolves, the potential knowledge provided by different visual attributes can change, breaking the initial assumptions of a non-adaptive vision system. This thesis develops a new comprehensive computational framework for the adaptive integration of information from different visual algorithms.
