• DocumentCode
    2701834
  • Title

    Adaptive summarisation of surveillance video sequences

  • Author

    Li, Jian ; Nikolov, Stavri G. ; Benton, Christopher P. ; Scott-Samuel, Nicholas E.

  • Author_Institution
    Univ. of Bristol, Bristol
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    546
  • Lastpage
    551
  • Abstract
    We describe our studies on summarising surveillance videos using optical flow information. The proposed method incorporates motion analysis into a video skimming scheme in which the playback speed is determined by the detectability of interesting motion behaviours according to prior information. A psycho-visual experiment was conducted to compare human performance and viewing strategy for summarised videos using standard video skimming techniques and a proposed motion-based adaptive summarisation technique.
  • Keywords
    image motion analysis; image sequences; video surveillance; motion analysis; motion behaviours; motion-based adaptive summarisation technique; optical flow information; playback speed; psycho-visual experiment; surveillance video sequences; video skimming scheme; Cameras; Displays; Event detection; Humans; Image motion analysis; Motion analysis; Motion detection; Psychology; Surveillance; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-1696-7
  • Electronic_ISBN
    978-1-4244-1696-7
  • Type

    conf

  • DOI
    10.1109/AVSS.2007.4425369
  • Filename
    4425369