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

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

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

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationWorld Automation Congress Proceedings
PublisherIEEE Computer Society
Pages759-762
Number of pages4
ISBN (Electronic)9781889335490
DOIs
Publication statusPublished - 2014 Oct 24
Event2014 World Automation Congress, WAC 2014 - Waikoloa, United States
Duration: 2014 Aug 32014 Aug 7

Publication series

NameWorld Automation Congress Proceedings
ISSN (Print)2154-4824
ISSN (Electronic)2154-4832

Conference

Conference2014 World Automation Congress, WAC 2014
CountryUnited States
CityWaikoloa
Period14/8/314/8/7

Keywords

  • Object Detection
  • Robot Vision
  • Saliency Map

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

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