• DocumentCode
    963807
  • Title

    Automated Visual Surveillance in Realistic Scenarios

  • Author

    Shah, Mubarak ; Javed, Omar ; Shafique, Khurram

  • Author_Institution
    Central Florida Univ., Orlando, FL
  • Volume
    14
  • Issue
    1
  • fYear
    2007
  • Firstpage
    30
  • Lastpage
    39
  • Abstract
    In this article, we present Knight, an automated surveillance system deployed in a variety of real-world scenarios ranging from railway security to law enforcement. We also discuss the challenges of developing surveillance systems, present some solutions implemented in Knight that overcome these challenges, and evaluate Knight´s performance in unconstrained environments
  • Keywords
    computer vision; video surveillance; Knight system; automated visual surveillance; law enforcement; railway security; Cameras; Computer vision; Computerized monitoring; Humans; Law enforcement; Layout; Lighting; Object detection; Rail transportation; Surveillance; Automated surveillance; activity recognition; and wide-area surveillance systems; classification; multicamera tracking; object detection; tracking;
  • fLanguage
    English
  • Journal_Title
    MultiMedia, IEEE
  • Publisher
    ieee
  • ISSN
    1070-986X
  • Type

    jour

  • DOI
    10.1109/MMUL.2007.3
  • Filename
    4061304
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=963807