• DocumentCode
    2097542
  • Title

    Data Consistence for Distributed Vision-based Traffic Surveillance Systems

  • Author

    Yao, Xiaoming ; Du, Wencai ; Li, Taijun ; Wang, Longjuan ; Li, Honglei ; Wu, Hanwei ; Wang, Zequn

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
  • fYear
    2011
  • fDate
    17-18 Sept. 2011
  • Firstpage
    78
  • Lastpage
    81
  • Abstract
    How to stipulate data consistence is very important when developing software packages for integrating or modifying the existing distributed vision-based traffic surveillance systems into a larger one. We extend our previous holonic architecture to verify formally the data consistence of the novel system via an intermediate modular using a STF-based set theoretical approach under the assumption that all existing subsystems are data consistent.
  • Keywords
    computer vision; data handling; distributed processing; road vehicles; software packages; traffic engineering computing; video surveillance; data consistence; distributed vision based traffic surveillance systems; software packages; Collaboration; Computer architecture; Feature extraction; Licenses; Surveillance; Traffic control; Vehicles; Data consistence; Holons; Software engineering; distributed Vision-based traffic surveillance systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing & Information Services (ICICIS), 2011 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-1561-7
  • Type

    conf

  • DOI
    10.1109/ICICIS.2011.26
  • Filename
    6063197