• DocumentCode
    2293372
  • Title

    An Improved Mixture Gaussian Models to Detect Moving Object Under Real-Time Complex Background

  • Author

    Ju, Shiguang ; Chen, Xiaojun ; Xu, Guanghua

  • Author_Institution
    Coll. of Comput. Sci. & Commun. Eng., JiangSu Univ., Zhenjiang
  • fYear
    2008
  • fDate
    22-24 Sept. 2008
  • Firstpage
    730
  • Lastpage
    734
  • Abstract
    With video inspecting applied, many research efforts have focused on subtracting the moving object. In this paper, we propose an improved Mixture Gaussian Model to subtract the real-time complex background. The experimental results have testified the proposed method can greatly extract the background model from the actual scene through the real-time monitor, extract the moving vessels automatically, filtrate the video abnormal incidents occurred, and achieve the monitoring the dock at no duty of intelligent monitoring.
  • Keywords
    Gaussian processes; computer vision; object detection; video surveillance; dock monitoring; intelligent monitoring; mixture Gaussian model; moving object detection; moving vessels; real-time complex background model; real-time monitor; video abnormal incidents; video inspection; Computerized monitoring; Database systems; Digital cameras; Hardware; Inspection; Layout; Local area networks; Network servers; Object detection; Rivers; Computer vision; background subtraction; mixture Gaussian model; moving object detection; video inspecting system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyberworlds, 2008 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-3381-0
  • Type

    conf

  • DOI
    10.1109/CW.2008.117
  • Filename
    4741387