DocumentCode
2753661
Title
Using neural dynamics to switch attention
Author
Vitay, Julien ; Rougier, Nicolas
Author_Institution
Loria, Vandoeuvre-les-Nancy, France
Volume
5
fYear
2005
fDate
31 July-4 Aug. 2005
Firstpage
2891
Abstract
We present a distributed and dynamic model of visual attention based on the continuum neural field theory that allows to sequentially focusing salient locations in an image. A working memory system ensures that the corresponding objects are only focused once, even if they are moving around, such that the visual search is efficient. The model has been implemented on a robotic platform in order to search for natural objects such as fruits.
Keywords
neural nets; object recognition; robot vision; visual perception; continuum neural field theory; memory system; neural dynamics; robotics; switch attention; visual attention; visual search; Electronic mail; Filters; Focusing; Layout; Neurons; Parallel architectures; Robot sensing systems; Switches; Target recognition; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN
0-7803-9048-2
Type
conf
DOI
10.1109/IJCNN.2005.1556384
Filename
1556384
Link To Document