• DocumentCode
    1742832
  • Title

    GlobeAll: panoramic video for an intelligent room

  • Author

    Nicolescu, Mircea ; Medioni, Gérard

  • Author_Institution
    Integrated Media Syst. Centre, Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    823
  • Abstract
    Choosing the appropriate type of video input is an important issue for any vision-based system and the right decision must take into account the specific requirements of the intended application. In the context of intelligent room systems, we establish several qualitative criteria to evaluate the video input component and we use them to compare three current solutions: mobile pan-tilt-zoom cameras, wide-angle lens cameras and electronic pan-tilt-zoom cameras. We show that electronic pan-tilt-zoom systems best satisfy our criteria. To support this claim, we present GlobeAll, a modular four-component prototype for a vision-based intelligent room: a video input component that uses an electronic pan-tilt-zoom camera array, a background learning and foreground extraction component, a tracking component and an interpretation component
  • Keywords
    CMOS image sensors; computer vision; image segmentation; user interfaces; GlobeAll; background learning; electronic pan-tilt-zoom cameras; foreground extraction; intelligent room; interpretation component; mobile pan-tilt-zoom cameras; panoramic video; tracking component; video input; vision-based system; wide-angle lens cameras; Computer vision; Context awareness; Intelligent systems; Layout; Lenses; Monitoring; Prototypes; Smart cameras; Target tracking; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905534
  • Filename
    905534