• DocumentCode
    2322406
  • Title

    Using of geospatial video surveillance networks for urban security and emergency applications

  • Author

    Wenshuai, Yu ; Xuchu, Yu ; Pengqiang, Zhang ; Xiong, Tang

  • Author_Institution
    Dept. of Remote Sensing Inf. Eng., Inst. of Surveying & Mapping, Zhengzhou
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Geospatial video surveillance network (GVSN) is an effective remote sensing approach for urban security and emergency applications. In this paper, the GVSN system could be separated into four basic functional parts that include change detection, object recognition, target tracking and target positioning. Each part has its special utility to solve the security and emergency problems. When the functions applied in urban security and emergency, based on the illustration and analysis of them, the paper emphasizes the importance of the geoinformation to the networks, because it enlarges the surveillance area and enhances the functions of the video networks. And according to the explanation of different security and emergency applications, it also clarifies that the extraction and operation of the target characteristics are the basics of processing algorithms.
  • Keywords
    geophysics computing; object detection; object recognition; remote sensing; target tracking; video surveillance; GVSN; change detection; emergency applications; geospatial video surveillance network; object recognition; processing algorithms; remote sensing approach; target characteristics extraction; target characteristics operation; target positioning; target tracking; urban security; Cameras; Centralized control; Control systems; Information security; Monitoring; Object detection; Object recognition; Remote sensing; Target tracking; Video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137694
  • Filename
    5137694