Saliency map for wide angle fovea vision sensor

Rei Murakami, Sota Shimizu, Nobuyuki Hasebe, Tatsuya Yamazaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes and develops a saliency map suitable for the wide angle fovea (WAF) sensor. The saliency map is well-known as a computational method inspired from the human cognitive vision processing. This bottom-up processing method is often available for finding a target, which should be paid attention to, automatically from the arbitrary scene. However, it is not necessarily sufficient to use the existing saliency sap directly with the W A F sensor. Usually, we utilize the W A F sensor by combining different-level image processing tasks using its high spatial resolution central field of view (FOV) or its wide-angle F O V cooperatively, because the W A F sensor does not provide with a uniform resolution input image. When we apply the saliency map for the input image by the W A F sensor, we need to take into account unique properties of this biologically-inspired special vision sensor. Therefore, we design a novel saliency map model which is more suitable for the W A F sensor. After configuration of this specific saliency map, some verification experiments were implemented to enhance advantages of our proposed saliency map for the W A F sensor, i.e., W A F saliency map.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5481-5486
Number of pages6
ISBN (Electronic)9781509066841
DOIs
Publication statusPublished - 2018 Dec 26
Event44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
Duration: 2018 Oct 202018 Oct 23

Publication series

NameProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
CountryUnited States
CityWashington
Period18/10/2018/10/23

Keywords

  • Attention shift
  • Eye movement
  • High spatial resolution
  • Reg interest
  • Saliency map
  • Staticfea dynamicfeature
  • Wide anglefovea sensor
  • Widefield of view

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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