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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Enke, D. |
| Copyright Year | 1997 |
| Description | Author affiliation: Smart Eng. Syst. Lab., Missouri Univ., Rolla, MO, USA (Enke, D.) |
| Abstract | In an attempt to incorporate basic visual attention abilities into existing artificial vision systems, a neural model of the bidirectional interactions within and between the brain regions believed to be involved in human visual attention has been developed. This model currently gives an artificial vision system the ability to attend to "salient", or "pop-out" features and objects within the vision system's field of view. After a review of the physiology of human visual attention, a network model of the aforementioned neural interactions is presented, followed by a demonstration of its performance. |
| Starting Page | 999 |
| Ending Page | 1004 |
| File Size | 642134 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780340531 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.1997.638078 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans Machine vision Neurons Image color analysis Filtering Systems engineering and theory Research and development management Brain modeling Physiology Modems |
| Content Type | Text |
| Resource Type | Article |
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