• DocumentCode
    3346714
  • Title

    Video Background Extraction Based on Improved Mode Algorithm

  • Author

    Li Meijin ; Zhu Ying ; Huang Jiandeng

  • Author_Institution
    Coll. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    331
  • Lastpage
    334
  • Abstract
    Background extraction is a fast and efficient moving object segmentation algorithm. This paper presents a new background extraction algorithm based on improved mode algorithm by using frame differential method to obtain the regions of static background. Then, this series of frames containing no moving foreground objects are counted by mode algorithm, thus improving the accuracy of the background extraction. Evaluation of the background extraction is also made by background approach coefficient (BAC) which is presented in this paper. The experimental results show that the proposed method is fast in speed and accurate in background abstract.
  • Keywords
    feature extraction; image segmentation; video signal processing; background approach coefficient; frame differential method; improved mode algorithm; object segmentation algorithm; video background extraction; Data mining; Educational institutions; Genetic algorithms; Image sequences; Intelligent transportation systems; Object detection; Object segmentation; Pixel; Real time systems; Videoconference; background extraction; background subtraction; frame difference method; mode algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.51
  • Filename
    5402880