• DocumentCode
    1983340
  • Title

    MPI-Video infrastructure for dynamic environments

  • Author

    Boyd, Jeffrey E. ; Hunter, Edward ; Kelly, Patrick H. ; Tai, Li-Cheng ; Phillips, Clifton B. ; Jain, Ramesh C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
  • fYear
    1998
  • fDate
    28 Jun-1 Jul 1998
  • Firstpage
    249
  • Lastpage
    254
  • Abstract
    We describe an infrastructure for multiple perspective interactive video (MPI-Video) systems. An MPI-Video system assimilates data from multiple disparate sensors, allowing a user to interact with them in a meaningful way. At the heart of an MPI-Video system is an environment model (EM) that both assimilates data from multiple sensors and acts as an information server to clients. A collection of strongly-coupled dynamic state estimation algorithms does the assimilation. Results show that our infrastructure is easy to configure, easy to extend, and is effective at modeling a dynamic environment
  • Keywords
    client-server systems; interactive video; multimedia computing; user interfaces; video signal processing; MPI-Video infrastructure; dynamic environments; environment model; human interaction; information server; multimedia systems; multiple perspective interactive video; multiple sensors; multiple streams of information; strongly-coupled dynamic state estimation algorithms; Cameras; Humans; Infrared detectors; Infrared sensors; Layout; Monitoring; Sensor systems; Sensor systems and applications; Streaming media; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems, 1998. Proceedings. IEEE International Conference on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-8557-3
  • Type

    conf

  • DOI
    10.1109/MMCS.1998.693651
  • Filename
    693651