Visual attention model involving feature-based inhibition of return

被引：5

作者：

Hotta S. ^{[1
]}

Oba S. ^{[1
,2
]}

Ishii S. ^{[1
]}

机构：

[1] Graduate School of Informatics, Kyoto University, Gokasho, Uji

[2] PRESTO, Japan Science and Technology Agency, Kawaguchi

来源：

Artificial Life and Robotics | 2010年 / 15卷 / 02期

关键词：

Feature-based IOR; Saliency map; Visual attention;

D O I：

10.1007/s10015-010-0778-7

中图分类号：

学科分类号：

摘要：

Visual attention tends to avoid locations where previous visual attention has once focused. This phenomenon is called inhibition of return (IOR), and is known as one of the important dynamic properties of visual attention. Recently, several studies have reported that IOR occurs not only on locations, but also on visual features. In this study, we propose a visual attention model that involves a featurebased IOR by extending a recent model of the "saliency map." Our model is demonstrated by a computer simulation, and its neuronal basis is also discussed. © 2010 International Symposium on Artificial Life and Robotics (ISAROB).

引用

页码：129 / 132

页数：3

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