• DocumentCode
    2803870
  • Title

    ELEVIEW: an active elevator video surveillance system

  • Author

    Shao, Hui ; Li, Liyuan ; Xiao, Ping ; Leung, Maylor K H

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    67
  • Lastpage
    72
  • Abstract
    In this paper, a novel study for an automated scene interpretation system, named ELEVIEW, is reported to outline the design of the system. It is motivated by the reported crimes that happen inside elevators. The main goal is to investigate techniques that make an ordinary elevator monitoring system intelligent, i.e. see the scene and understand actions that are occurring. The system could filter out normal actions and trigger an alarm once abnormal events are detected. The paper focuses on the system overview, segmentation techniques as well as scenario classification. A double thresholded segmentation is employed to enhance the segmentation outcomes. This paper mainly presents an overview of the system and significant results so far achieved
  • Keywords
    active vision; image segmentation; lifts; surveillance; ELEVIEW; active elevator video surveillance system; alarm; automated scene interpretation system; crime; image segmentation; scenario classification; Cameras; Elevators; Humans; Layout; Monitoring; Motion analysis; Personnel; Real time systems; Security; Video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human Motion, 2000. Proceedings. Workshop on
  • Conference_Location
    Los Alamitos, CA
  • Print_ISBN
    0-7695-0939-8
  • Type

    conf

  • DOI
    10.1109/HUMO.2000.897373
  • Filename
    897373