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

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

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルWorld Automation Congress Proceedings
出版社IEEE Computer Society
ページ759-762
ページ数4
ISBN(電子版)9781889335490
DOI
出版ステータスPublished - 2014 10月 24
イベント2014 World Automation Congress, WAC 2014 - Waikoloa, United States
継続期間: 2014 8月 32014 8月 7

出版物シリーズ

名前World Automation Congress Proceedings
ISSN(印刷版)2154-4824
ISSN(電子版)2154-4832

Conference

Conference2014 World Automation Congress, WAC 2014
国/地域United States
CityWaikoloa
Period14/8/314/8/7

ASJC Scopus subject areas

  • 制御およびシステム工学

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