Object detection based on saliency map using reference image containing complex background

Yasuto Tamura, Atsuo Takanishi, Hiroyuki Masuta, Hun Ok Lim

    研究成果: Conference contribution

    1 引用 (Scopus)

    抜粋

    We propose an object detection method based on a saliency map using a reference image containing complex background for service robots. In previous detection methods, images that the user prepares in advance contain mostly simple background. However, in order to make robots perform daily tasks, the robots should be able to detect an object using snapshots that contain a complex background. In order to decrease the effect of features in the background, our proposed method classifies local features based on saliency from images. This paper shows the efficacy of the proposed method; furthermore, we demonstrate that our service robot detects certain objects according to the proposed method.

    元の言語English
    ホスト出版物のタイトルWorld Automation Congress Proceedings
    出版者IEEE Computer Society
    ページ759-762
    ページ数4
    ISBN(印刷物)9781889335490
    DOI
    出版物ステータスPublished - 2014 10 24
    イベント2014 World Automation Congress, WAC 2014 - Waikoloa
    継続期間: 2014 8 32014 8 7

    Other

    Other2014 World Automation Congress, WAC 2014
    Waikoloa
    期間14/8/314/8/7

      フィンガープリント

    ASJC Scopus subject areas

    • Control and Systems Engineering

    これを引用

    Tamura, Y., Takanishi, A., Masuta, H., & Lim, H. O. (2014). Object detection based on saliency map using reference image containing complex background. : World Automation Congress Proceedings (pp. 759-762). [6936136] IEEE Computer Society. https://doi.org/10.1109/WAC.2014.6936136