• DocumentCode
    2971414
  • Title

    A new method for selecting gradient weight in incremental eigen-background modeling

  • Author

    Lv, Xiaolong ; Zhao, Guoliang ; Meng, Hao

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    801
  • Lastpage
    805
  • Abstract
    Background modeling is an important approach used in motion detection. The background model should adapt to dynamic change of the environment and update quickly. In this paper, some improvements on incremental eigen background modeling are made. A new method of selecting weight according to reconstruction error is proposed. Compared with existing means, this method can not only model background effectively but also more efficiently.
  • Keywords
    eigenvalues and eigenfunctions; gradient methods; image motion analysis; object detection; gradient weight selection; incremental eigen background modeling; motion detection; Automation; Covariance matrix; Gaussian processes; Gray-scale; Histograms; Kernel; Lighting; Matrices; Object detection; Principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2009. ICIA '09. International Conference on
  • Conference_Location
    Zhuhai, Macau
  • Print_ISBN
    978-1-4244-3607-1
  • Electronic_ISBN
    978-1-4244-3608-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2009.5205030
  • Filename
    5205030
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2971414