Saliency map for wide angle fovea vision sensor

Rei Murakami, Sota Shimizu, Nobuyuki Hasebe, Tatsuya Yamazaki

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings
ホスト出版物のサブタイトルIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
出版者Institute of Electrical and Electronics Engineers Inc.
ページ5481-5486
ページ数6
ISBN(電子版)9781509066841
DOI
出版物ステータスPublished - 2018 12 26
イベント44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
継続期間: 2018 10 202018 10 23

出版物シリーズ

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

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
United States
Washington
期間18/10/2018/10/23

ASJC Scopus subject areas

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

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  • これを引用

    Murakami, R., Shimizu, S., Hasebe, N., & Yamazaki, T. (2018). Saliency map for wide angle fovea vision sensor. : 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