• DocumentCode
    3451855
  • Title

    Interactive video GrowCut: A semi-automated video object segmentation framework using cellular automata

  • Author

    Phan, Raphael ; Androutsos, D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
  • fYear
    2011
  • fDate
    8-11 May 2011
  • Abstract
    This paper illustrates a simple, yet effective semi-automated object segmentation framework over video sequences. This is through an extension of the GrowCut framework, an image segmentation scheme based on cellular automata. We describe how GrowCut is extended to video sequences, as well as providing our own improvements and addressing problematic areas to the original formulation. This provides a good increase in accuracy and creates the main goal of this work. It will be shown that the original algorithm adapts quite nicely to video object segmentation, and can achieve very good results using both synthetic and real video footage, obtained from different sources.
  • Keywords
    cellular automata; image segmentation; image sequences; interactive video; video signal processing; cellular automata; image segmentation scheme; interactive video GrowCut; real video footage; semiautomated video object segmentation; synthetic video footage; video sequence; Accuracy; Automata; Force; Image color analysis; Image segmentation; Object segmentation; Video sequences; Cellular Automata; Computer Vision; GrowCut; Image & Video Processing; Video Object Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-9788-1
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2011.6030413
  • Filename
    6030413