• DocumentCode
    1809719
  • Title

    Detecting abandoned packages in a multi-camera video surveillance system

  • Author

    Beynon, Michael D. ; Van Hook, Daniel J. ; Seibert, Michael ; Peacock, Alen ; Dudgeon, Dan

  • Author_Institution
    Lincoln Lab., MIT, Lexington, MA, USA
  • fYear
    2003
  • fDate
    21-22 July 2003
  • Firstpage
    221
  • Lastpage
    228
  • Abstract
    We describe a video surveillance system that detects abandoned packages automatically. In this system, multiple cameras locate objects in space and time despite occlusions and distracting lighting effects observed by subsets of the cameras. A multiple-state model of an abandoned package provides the ability to detect realistic abandoned package events. The paper outlines the system by describing the modules for camera view segmentation, object classification, view-object association, 3D object tracking, and finally detection of the event of a package being abandoned, which highlights object association using multiple cameras and the multiple-state abandoned package model.
  • Keywords
    hidden feature removal; image classification; image segmentation; object detection; optical tracking; surveillance; video signal processing; 3D object tracking; abandoned package detection; camera view segmentation; lighting effects; multi-camera video surveillance system; multiple-state model; object classification; occlusion compensation; occlusion detection; view-object association; Cameras; Event detection; Laboratories; Layout; Object detection; Packaging; Real time systems; Shape; Video surveillance; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2003. Proceedings. IEEE Conference on
  • Print_ISBN
    0-7695-1971-7
  • Type

    conf

  • DOI
    10.1109/AVSS.2003.1217925
  • Filename
    1217925