• DocumentCode
    2228712
  • Title

    Application dependent video segmentation evaluation - A case study for video surveillance

  • Author

    Gelasca, Elisa Drelie ; Ebrahimi, Touradj

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, Santa Barbara, CA, USA
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Evaluation of the performance of video segmentation algorithms is important in both theoretical and practical considerations. This paper addresses the problem of video segmentation assessment, through both subjective and objective approaches, for the specific application of video surveillance. After an overview of the state of the art technique in video segmentation objective evaluation metrics, a general framework is proposed to cope with application dependent evaluation assessment. Finally, the performance of the proposed scheme is compared to state of the art technique and various conclusions are drawn.
  • Keywords
    image segmentation; video signal processing; video surveillance; application dependent video segmentation evaluation; general framework; video segmentation algorithms; video segmentation assessment; video segmentation objective evaluation metrics; video surveillance; Abstracts; Area measurement; Joints; Subspace constraints; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071784