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Visual attention model involving feature-based inhibition of return

机译:视觉注意力模型涉及基于特征的回报抑制

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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 feature-based 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.
机译:视觉注意力往往会避开先前视觉注意力曾经集中的位置。这种现象称为抑制返回(IOR),并且被称为视觉注意的重要动态特性之一。最近,一些研究报告说IOR不仅发生在位置,还发生在视觉特征上。在这项研究中,我们提出了一种视觉注意力模型,该模型通过扩展“显着性图”的最新模型来涉及基于特征的IOR。通过计算机仿真证明了我们的模型,并讨论了其神经元基础。

著录项

  • 来源
    《Artificial life and robotics》 |2010年第2期|p.129-132|共4页
  • 作者单位

    Graduate School of Informatics, Kyoto University, Gokasho, Uji,Kyoto 611-0011, Japan;

    Graduate School of Informatics, Kyoto University, Gokasho, Uji,Kyoto 611-0011, Japan,PRESTO, Japan Science and Technology Agency, Kawaguchi, Japan;

    Graduate School of Informatics, Kyoto University, Gokasho, Uji,Kyoto 611-0011, Japan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    visual attention; feature-based ior; saliency map;

    机译:视觉注意力;基于特征的视角;显着性图;

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