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Modeling of Human Saccadic Scanpaths Based on Visual Saliency

  • Lijuan Duan
  • Haitao Qiao
  • Chunpeng Wu
  • Zhen Yang
  • Wei Ma
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 238)

Abstract

We propose a method to predict human saccadic scanpaths on natural images based on a bio-inspired visual attention model. The method integrates three related factors as driven forces to guide eye movements, sequentially-visual saliency, winner-takes-all and visual memory, respectively. When predicting a current fixation of saccadic scanpaths, we follow physiological visual memory characteristics to eliminate the effects of the previous selected fixation. Then, we use winner-takes-all to select the fixation on the current saliency map. Experimental results demonstrate that the proposed model outperform other methods on both static fixation locations and dynamic scanpaths.

Keywords

visual saliency winner-takes-all visual memory saccadic scanpaths 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Lijuan Duan
    • 1
  • Haitao Qiao
    • 1
  • Chunpeng Wu
    • 2
  • Zhen Yang
    • 1
  • Wei Ma
    • 1
  1. 1.College of Computer Science and TechnologyBeijing University of TechnologyBeijingChina
  2. 2.Fujitsu Research & Development Center Co. Ltd.BeijingChina

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