Evaluation of the Impetuses of Scan Path in Real Scene Searching

  • Chen Chi
  • Laiyun Qing
  • Jun Miao
  • Xilin Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6468)


The modern computer vision systems usually scan the image over positions and scales to detect a predefined object, whereas the human vision system performs this task in a more intuitive and efficient manner by selecting only a few regions to fixate on. A comprehensive understanding of human search will benefit computer vision systems in search modeling. In this paper, we investigate the contributions of the sources that affect human eye scan path while observers perform a search task in real scenes. The examined sources include saliency, task guidance, and oculomotor bias. Both their influence on each consecutive pair fixations and on the entire scan path are evaluated. The experimental results suggest that the influences of task guidance and oculomotor bias are comparable, and that of saliency is rather low. They also show that we could use these sources to predict not only where humans look in the image but also the order of their visiting.


Edit Distance Computer Vision System Combine Source Saccade Length Task Guidance 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Chen Chi
    • 1
  • Laiyun Qing
    • 1
  • Jun Miao
    • 2
  • Xilin Chen
    • 2
  1. 1.Graduate University of Chinese Academy of ScienceBeijingChina
  2. 2.Key Laboratory of Intelligent Information ProcessingInstitute of Computing Technology, Chinese Academy of SciencesBeijingChina

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