• DocumentCode
    514274
  • Title

    Tracking and plot-to-track association for surveillance of busy inland river traffic

  • Author

    Grolleau, Julie ; Kronental, Marc

  • Author_Institution
    SOFRELOG SAS, Bezons, France
  • fYear
    2009
  • fDate
    12-16 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    River Surveillance systems employ primarily radar sensors, which completely cover an area of interest. Based on the raw videos provided by these radars, plot extraction, plot-to-track association and tracking are then carried out. However, the task of successfully supervising congested traffic areas needs to address ambiguous cases due to vessel maneuvers, radar shadow zones, vessel crossings, etc. This paper deals with the relevance of filtering and data association techniques to resolve these confusing cases.
  • Keywords
    filtering theory; radar tracking; rivers; search radar; sensor fusion; surveillance; telecommunication traffic; busy inland river traffic; data association techniques; filtering techniques; plot extraction; plot to track association; radar sensors; radar shadow zones; river surveillance system; tracking; vessel maneuvers; Bridges; Data mining; Filtering; Radar tracking; Rivers; Surveillance; Target tracking; Testing; Traffic control; Videos; Coastal, harbour, river surveillance; adaptive filtering techniques; hypothesis test; manoeuvering target tracking; plot-to-track association;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference - Surveillance for a Safer World, 2009. RADAR. International
  • Conference_Location
    Bordeaux
  • Print_ISBN
    978-2-912328-55-7
  • Type

    conf

  • Filename
    5438495