• DocumentCode
    2511642
  • Title

    Dual frame differences based background extraction algorithm

  • Author

    Yang, Jun ; Lin, Tusheng ; Li, Bi

  • Author_Institution
    Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2011
  • fDate
    21-23 Oct. 2011
  • Firstpage
    44
  • Lastpage
    47
  • Abstract
    Background subtraction is very important part of surveillance applications for successful segmentation of objects from video sequences. The robust initial background extraction is crucial in any background subtraction. In this paper, we propose an algorithm to extract initial background from surveillance videos using dual frame differences and morphological processing. With the proposed algorithm, the initial background can be extracted accurately and quickly. Experimental results for various environmental sequences are provided to demonstrate the robustness, accuracy and effectiveness of our method.
  • Keywords
    object detection; video signal processing; video surveillance; background subtraction; dual frame difference; environmental sequences; morphological processing; robust initial background extraction; surveillance application; surveillance video; video sequences; Algorithm design and analysis; Classification algorithms; Educational institutions; Heuristic algorithms; Image motion analysis; Lighting; Robustness; Background Extraction; Dual Frame Differences; Morphological Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Problem-Solving (ICCP), 2011 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4577-0602-8
  • Electronic_ISBN
    978-1-4577-0601-1
  • Type

    conf

  • DOI
    10.1109/ICCPS.2011.6092267
  • Filename
    6092267