• DocumentCode
    1692797
  • Title

    Analysis of Time-multiplexed Security Videos

  • Author

    Utasi, Ákos ; Czuni, László

  • Author_Institution
    Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    2009
  • Firstpage
    547
  • Lastpage
    552
  • Abstract
    In this paper we present robust statistical methods for segmentation and preprocessing of time-multiplexed videos. We will present hidden Markov and hidden semi-Markov model based real-time detectors and their usage for video segmentation and anomalous event detection. We demonstrate the high performance of our detectors with real-life outdoor videos from low-quality cameras.
  • Keywords
    hidden Markov models; image segmentation; video surveillance; anomalous event detection; hidden semi-Markov model; time-multiplexed security videos; video preprocessing; video segmentation; Cameras; Detectors; Event detection; Hidden Markov models; Human factors; Image segmentation; Layout; Security; Streaming media; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on
  • Conference_Location
    Genova
  • Print_ISBN
    978-1-4244-4755-8
  • Electronic_ISBN
    978-0-7695-3718-4
  • Type

    conf

  • DOI
    10.1109/AVSS.2009.73
  • Filename
    5279985
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1692797