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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  • Cite this

    Murakami, R., Shimizu, S., Hasebe, N., & Yamazaki, T. (2018). Saliency map for wide angle fovea vision sensor. In Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (pp. 5481-5486). [8591050] (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2018.8591050