• DocumentCode
    2210246
  • Title

    A New Method of Dynamic Texture Segmentation Based on Optical Flow and Level Set Combination

  • Author

    Quan, Hongyan

  • Author_Institution
    Inst. of Software Eng., East China Normal Univ., Shanghai, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    1063
  • Lastpage
    1066
  • Abstract
    Dynamic texture is a part of the natural scene. Dynamic texture segmentation issue is research hotspot in the field of computer vision and even robot research area. This paper presents a new dynamic texture recognition method based on level set strategy. The level set function evolutes to the boundary of objects according the optical flow feature of moving objects. Because we use the optical flow based terminal condition, the evolution can fast stop to the edge of dynamic texture object. The new method has the characteristic of fast and accuracy. It overcomes the shortcoming of reinitializing and slow evolution speed in the existing methods. The experimental results show that the method can effectively achieve the dynamic texture segmentation of moving objects and it is a very useful method.
  • Keywords
    image segmentation; image sequences; image texture; set theory; computer vision; dynamic texture recognition method; dynamic texture segmentation; level set combination; optical flow; robot research area; Computer vision; Fires; Image motion analysis; Image segmentation; Image sequences; Intelligent robots; Level set; Optical computing; Robot vision systems; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.95
  • Filename
    5454625