Considerations of self-motion in motion saliency

Akinori Hiratani, Ryoichi Nakashima, Kazumichi Matsumiya, Ichiro Kuriki, Satoshi Shioiri

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)


Despite a number of studies of computational models of visual saliency, it is still difficult to predict where human would attend in a scene. One of the problems is the effect of self-motion on retinal images. Usually saliency is calculated with local motion signals, and high degree of saliency is found in motion components caused by self-motion. Since human observers usually ignore the motion caused by self-motion, the prediction accuracy of attention locations falls off. We developed a framework that reduces the saliency of the motion components caused self-motion, using a physiological model of optic flow processing that extracts object motion among self-motion signals.

Original languageEnglish
Number of pages5
Publication statusPublished - 2013
Event2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan
Duration: 2013 Nov 52013 Nov 8


Conference2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
CityNaha, Okinawa


  • Gaze estimation
  • Global motion
  • Saliency map
  • Self-motion


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