• DocumentCode
    517592
  • Title

    An HMM segmentation method based statistical layered model for an image of vehicle

  • Author

    Bo-Ping, Zhang ; Rong, Wang

  • Author_Institution
    Coll. of Comput. & Technol., Xuchang Univ., Xuchang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    30-31 May 2010
  • Firstpage
    385
  • Lastpage
    389
  • Abstract
    An HMM segmentation method based statistical layered model for an image including interest vehicle is brought forward. In statistical layered model, the interest vehicle is called foreground layer and other moving object is called background layer and shadow of moving objects is called shadow layer and is expressed by the statistical model respectively. The model parameters are estimated by the HMM-based method of video sequences. HMM- based method makes use of the spatial relativity and time relativity of video sequences to accomplish recognition of model. The experimental results show that this method can succeed segmenting the moving vehicle.
  • Keywords
    hidden Markov models; image recognition; image segmentation; road vehicles; video signal processing; HMM segmentation method; background layer; foreground layer; interest vehicle; model recognition; moving object shadow; moving vehicle image segmentation; shadow layer; spatial relativity; statistical layered model; time relativity; video sequences; Automotive engineering; Computer networks; Educational institutions; Hidden Markov models; Image analysis; Image segmentation; Parameter estimation; Pixel; Vehicles; Video sequences; HMM; moving vehicle segmentation; statistical layered model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Digital Society (ICNDS), 2010 2nd International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5162-3
  • Type

    conf

  • DOI
    10.1109/ICNDS.2010.5479213
  • Filename
    5479213