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An Intelligent Systems Approach to Automated Object Recognition: A Preliminary Study

January 1, 2002

Attempts at fully automated object recognition systems have met with varying levels of success over the years. However, none of the systems have achieved high enough accuracy rates to be run unattended. One of the reasons for this may be that they are designed from the computer's point of view and rely mainly on image-processing methods. A better solution to this problem may be to make use of modern advances in computational intelligence and distributed processing to try to mimic how the human brain is thought to recognize objects. As humans combine cognitive processes with detection techniques, such a system would combine traditional image-processing techniques with computer-based intelligence to determine the identity of various objects in a scene.

Publication Year 2002
Title An Intelligent Systems Approach to Automated Object Recognition: A Preliminary Study
DOI 10.3133/ofr2002461
Authors Brian G. Maddox, Casey L. Swadley
Publication Type Report
Publication Subtype USGS Numbered Series
Series Title Open-File Report
Series Number 2002-461
Index ID ofr2002461
Record Source USGS Publications Warehouse
USGS Organization U.S. Geological Survey
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