An Intelligent Systems Approach to Automated Object Recognition: A Preliminary Study
Open-File Report
2002-461
By: Brian G. Maddox and Casey L. Swadley
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Abstract
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 type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | An Intelligent Systems Approach to Automated Object Recognition: A Preliminary Study |
| Series title | Open-File Report |
| Series number | 2002-461 |
| DOI | 10.3133/ofr2002461 |
| Edition | - |
| Year Published | 2002 |
| Language | ENGLISH |
| Publisher | Geological Survey (U.S.) |
| Contributing office(s) | U.S. Geological Survey |
| Description | 15 p. |
| Google Analytic Metrics | Metrics page |