• DocumentCode
    2581437
  • Title

    The Solution to Background Segmentation and Extraction in Traffic Video Detection

  • Author

    Xu, Zewei ; Qiu, Qizhi ; Wang, Lu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    19-22 Oct. 2012
  • Firstpage
    392
  • Lastpage
    395
  • Abstract
    This paper proposes a solution to the background segmentation and extraction in traffic video detection system. Weighted average method, Bimodal method and Median filter are employed to preprocess the video in the proposed solution. The preprocessing provides the satisfied precondition for the backgroud extraction. Furthermore, Gaussian Mixture Model is applied to extract the background from the grayscale image. The experiment results show the validity and the practicality of the solution. Its achievement will lay the foundation for the further work, such as extracting moving vehicle.
  • Keywords
    Gaussian processes; feature extraction; filtering theory; image segmentation; median filters; traffic engineering computing; video signal processing; Gaussian mixture model; background extraction; background segmentation; bimodal method; grayscale image; median filter; moving vehicle extraction; traffic video detection system; weighted average method; Educational institutions; Filtering; Gray-scale; Image segmentation; Vehicles; Gaussian Mixture Model; background segmentation; grayscale image; video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4673-2630-8
  • Type

    conf

  • DOI
    10.1109/DCABES.2012.85
  • Filename
    6385315