• DocumentCode
    2501999
  • Title

    Multi-object Segmentation in a Projection Plane Using Subtraction Stereo

  • Author

    Ubukata, Toru ; Terabayashi, Kenji ; Moro, Alessandro ; Umeda, Kazunori

  • Author_Institution
    CREST, Chuo Univ., Tokyo, Japan
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    3296
  • Lastpage
    3299
  • Abstract
    We propose a method for multi-object segmentation in a projection plane. Our algorithm requires a stereo camera system called Subtraction Stereo, which extracts foreground information with a fixed stereo camera. The main contribution of this paper is how the image sequences that include partial occlusion of the foreground objects can be accurately segmented using mean shift clustering in real-time processing. The proposed method is suitable for inside a medium-sized environment, such as a room. Finally, we try to segment the sequences that include occlusion and show the accuracy of the proposed method.
  • Keywords
    computer graphics; image segmentation; image sequences; object recognition; pattern clustering; stereo image processing; foreground information extraction; image sequences; mean shift clustering; medium-sized environment; multiobject segmentation; partial occlusion; projection plane; real-time processing; stereo camera system; subtraction stereo; Accuracy; Cameras; Histograms; Image segmentation; Pixel; Real time systems; Stereo vision; object segmentation; stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.806
  • Filename
    5597148