• DocumentCode
    696909
  • Title

    Evaluation of video segmentation methods for surveillance applications

  • Author

    McKoen, Kevin ; Navarro-Prieto, Raquel ; Duc, Benoit ; Durucan, Emrullah ; Ziliani, Francesco ; Ebrahimi, Touradj

  • Author_Institution
    Motorola Labs UK, Basingstoke, England
  • fYear
    2000
  • fDate
    4-8 Sept. 2000
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Current research on performance evaluation of video segmentation methods is primarily focussed on the development of objective figures of merit. There is no standardised methodology for subjective evaluations of segmentation performance and these are currently perceived as too onerous. Using an experimental design and data analysis method derived from current practice in experimental psychology, we have explored a performance evaluation procedure that is largely based on subjective assessments. We report on statistically significant differences in perceived performance between three multi-object video segmentation and tracking methods developed for surveillance applications. The assessments were performed by a group each of experts and novices on a wide range of video content.
  • Keywords
    Algorithm design and analysis; Change detection algorithms; Image segmentation; Lighting; Multimedia communication; Signal processing algorithms; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2000 10th European
  • Conference_Location
    Tampere, Finland
  • Print_ISBN
    978-952-1504-43-3
  • Type

    conf

  • Filename
    7075755