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 :
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