• DocumentCode
    1721096
  • Title

    GPU Accelerated Multimodal Background Subtraction

  • Author

    Carr, Peter

  • Author_Institution
    RSISE, Australian Nat. Univ., Canberra, ACT
  • fYear
    2008
  • Firstpage
    279
  • Lastpage
    286
  • Abstract
    Although trivial background subtraction algorithms (such as temporal averaging) can execute quite quickly, they do not give useful results in most situations. More complex algorithms usually provide better results, but are typically too slow for widespread use. Here, we examine the architecture of the GPU and describe how a multimodal background subtraction algorithm can be implemented on graphics hardware to provide useful results in real-time.
  • Keywords
    coprocessors; image segmentation; GPU; graphics hardware; multimodal background subtraction; Acceleration; Central Processing Unit; Graphics; Hardware; History; Layout; Pixel; Robustness; Traffic control; Vehicle dynamics; GPU; background subtraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications (DICTA), 2008
  • Conference_Location
    Canberra, ACT
  • Print_ISBN
    978-0-7695-3456-5
  • Type

    conf

  • DOI
    10.1109/DICTA.2008.77
  • Filename
    4700032