• DocumentCode
    2592140
  • Title

    YES - YEt another object segmentation: Exploiting camera movement

  • Author

    Nalpantidis, Lazaros ; Björkman, Mårten ; Kragic, Danica

  • Author_Institution
    Centre for Autonomous Syst., R. Inst. of Technol. (KTH), Stockholm, Sweden
  • fYear
    2012
  • fDate
    7-12 Oct. 2012
  • Firstpage
    2116
  • Lastpage
    2121
  • Abstract
    We address the problem of object segmentation in image sequences where no a-priori knowledge of objects is assumed. We take advantage of robots´ ability to move, gathering multiple images of the scene. Our approach starts by extracting edges, uses a polar domain representation and performs integration over time based on a simple dilation operation. The proposed system can be used for providing reliable initial segmentation of unknown objects in scenes of varying complexity, allowing for recognition, categorization or physical interaction with the objects. The experimental evaluation on both self-captured and a publicly available dataset shows the efficiency and stability of the proposed method.
  • Keywords
    cameras; image segmentation; image sequences; YES; camera movement; image sequences; object segmentation; polar domain representation; Correlation; Detectors; Image edge detection; Image segmentation; Object segmentation; Optical imaging; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
  • Conference_Location
    Vilamoura
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4673-1737-5
  • Type

    conf

  • DOI
    10.1109/IROS.2012.6385890
  • Filename
    6385890