DocumentCode
317943
Title
A biologically inspired connectionist architecture for directing attention to salient visual field objects
Author
Enke, David
Author_Institution
Smart Eng. Syst. Lab., Missouri Univ., Rolla, MO, USA
Volume
2
fYear
1997
fDate
12-15 Oct 1997
Firstpage
999
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
Keywords
computer vision; neural net architecture; physiological models; attention; bidirectional interactions; machine vision; neural model; neural net architecture; salient visual field objects; Brain modeling; Filtering; Humans; Image color analysis; Machine vision; Modems; Neurons; Physiology; Research and development management; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1062-922X
Print_ISBN
0-7803-4053-1
Type
conf
DOI
10.1109/ICSMC.1997.638078
Filename
638078
Link To Document