• DocumentCode
    2473736
  • Title

    Shapes to synchronize camera networks

  • Author

    Chang, Richard ; Ieng, Siohoi ; Benosman, Ryad

  • Author_Institution
    Inst. of Intell. Syst. & Robot.-CNRS, Univ. Pierre & Marie Curie-Paris 6, Paris
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The synchronicity is a strong restriction that in some cases of wide applications can be difficult to obtain. This paper studies the methodology of using a non synchronized camera network. We consider the cases where the frequency of acquisition of each element of the network can be different. The following work introduces a new approach to retrieve the temporal synchronization from the multiple unsynchronized frames of a scene. The mathematical characterization of the 3D structure of scenes, is used as a tool to estimate synchronization value, combined with a statistical stratum. This paper presents experimental results on real data for each step of synchronization retrieval.
  • Keywords
    computer vision; image reconstruction; statistical analysis; 3D scene structure; multiple unsynchronized frames; nonsynchronized camera network; statistical stratum; temporal synchronization; Calibration; Chromium; Frequency synchronization; Image reconstruction; Intelligent robots; Intelligent systems; Layout; Robot vision systems; Shape; Smart cameras;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761042
  • Filename
    4761042