Exploring human eye behaviour using a model of visual attention

被引：11

作者：

Oyekoya, O ^{[1
]}

Stentiford, F ^{[1
]}

机构：

[1] Univ Coll London, London WC1E 6BT, England

来源：

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4 | 2004年

关键词：

D O I：

10.1109/ICPR.2004.1333929

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is natural in a visual search to look at any object that is similar to the target so that it can be recognised and a decision made to end the search. Eye tracking technology offers an intimate and immediate way of interpreting users' behaviours to guide a computer search through large image databases. This paper describes experiments carried out to explore the relationship between gaze behaviour and a visual attention model that identifies regions of interest in image data. Results show that there is a difference in behaviour on images that do and do not contain a clear region of interest.

引用

页码：945 / 948

页数：4

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