• DocumentCode
    3300386
  • Title

    Automatic multi-camera placement and optimisation using ray tracing

  • Author

    Bouyagoub, Samira ; Bull, David R. ; Canagarajah, Nishan ; Nix, Andrew

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    681
  • Lastpage
    684
  • Abstract
    An automatic method for rapid and optimised surveillance camera deployment is proposed for outdoor settings. Given a target scene. potential camera locations are generated taking account of real-world camera parameters and environmental constraints. For example, each point on a target must be viewed by at least two cameras. We employ ray tracing to determine the visibility of any point from a given camera and camera-to-point viewing angle is used to measure visibility quality. Gradient ascent is used to optimise camera orientation for maximum quality coverage. Camera network optimisation was also addressed, and a new combinatorial algorithm is proposed. A comparative study showed that our approach significantly outperforms competing techniques providing solutions which better cover the search space, while offering multiple alternative solutions.
  • Keywords
    ray tracing; video cameras; video surveillance; automatic multi-camera placement; multiple alternative solutions; optimisation; outdoor settings; ray tracing; surveillance camera deployment; Conferences; Decision support systems; Image processing; Camera placement; optimisation; ray tracing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5649559
  • Filename
    5649559