A model of saliency-based visual attention for rapid scene analysis
Itti, L.
Koch, C.
Niebur, E.
Comput. & Neural Syst. Program, California Inst. of Technol., Pasadena, CA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Nov 1998
Volume: 20,
Issue: 11
On page(s): 1254-1259
ISSN: 0162-8828
References Cited: 19
CODEN: ITPIDJ
INSPEC Accession Number: 6107950
Digital Object Identifier: 10.1109/34.730558
Current Version Published: 2002-08-06
Abstract
A visual attention system, inspired by the behavior and the
neuronal architecture of the early primate visual system, is presented.
Multiscale image features are combined into a single topographical
saliency map. A dynamical neural network then selects attended locations
in order of decreasing saliency. The system breaks down the complex
problem of scene understanding by rapidly selecting, in a
computationally efficient manner, conspicuous locations to be analyzed
in detail
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