• DocumentCode
    1721826
  • Title

    A Scalable intelligent service model for video surveillance system based on RTCP

  • Author

    Abudoulikemu, Yimamuaishan ; Huang, Yuanming ; Ye, Changqing

  • Author_Institution
    Inf. & Constr. Coll., Urumqi Vocational Univ., Urumqi, China
  • Volume
    3
  • fYear
    2010
  • Abstract
    As an extensible signaling protocol, RTCP protocol can be applied in developing video surveillance system. Traditionally, for RTP-based centralized video surveillance system, surveillance scale is limited by both the capability of surveillance server and the availability of bandwidth. This paper focuses on how to keep surveillance capability when the number of video surveillance system increases. Based on the study of the RTCP Protocol, we analyze the drawback of the existing video surveillance system model, and propose the scalable service model for video surveillance system. By this model, the extra service requests can be transferred and served in the cooperated video servers. The paper presents the video surveillance control policy of the model in detail. We developed a prototype of video surveillance system based on above model. Experimental result show the service model works well.
  • Keywords
    bandwidth allocation; signalling protocols; transport protocols; video servers; video surveillance; RTCP protocol; RTP-based centralized video surveillance system; bandwidth availability; cooperated video servers; extensible signaling protocol; extra service requests; scalable intelligent service model; scalable service model; surveillance capability; surveillance scale; surveillance server; video surveillance control policy; Biological system modeling; Multimedia communication; Protocols; Servers; Streaming media; Video surveillance; Capability Scalabilty; RTCP; Service Model; Video Surveillance System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555783
  • Filename
    5555783