• DocumentCode
    1209580
  • Title

    Automated video protection, monitoring & detection

  • Author

    Lipton, Alan J. ; Heartwell, Craig H. ; Haering, Niels ; Madden, Donald

  • Author_Institution
    Object Video, Reston, VA, USA
  • Volume
    18
  • Issue
    5
  • fYear
    2003
  • fDate
    5/1/2003 12:00:00 AM
  • Firstpage
    3
  • Lastpage
    18
  • Abstract
    The latest generation of computer vision technology is revolutionizing concepts, applications, and products in video surveillance and CCTV. This is of prime relevance to security for large outdoor facilities such as commercial airfields, refineries, power plants, and office/industrial campuses. Most airfields, for example, have open (unfenced) perimeters, high volume heterogeneous traffic, are easily accessed on foot or by water, and exist in areas where regulations providing a safety buffer are difficult to legislate or enforce. And all airfields require 24/7 outdoor monitoring - snow, fog, rain, or shine. Likewise, most high-value facilities appealing to criminals and terrorists are in close proximity to public areas (roads, residences, city, etc.). The appeal of automated real-time surveillance is obvious $maximizing efficiency and effectiveness of security personnel and resources while increasing the probability of preventing a serious security breach. Computer vision based solutions have the potential for very discriminating detection and very low false alarms. The bottom line is that applied computer vision has the potential for the greatest return on investment (ROI), both short-term and long-term.
  • Keywords
    airports; computer vision; computerised monitoring; image classification; security; surveillance; video equipment; video signal processing; CCTV; airfield outdoor monitoring; automated real-time surveillance efficiency/effectiveness; automated video protection/monitoring/detection; commercial airfield open perimeters; computer vision technology; criminal/terrorist activities; detection discrimination; false alarms; high volume heterogeneous traffic; image classification; image detection; image recognition; office/industrial campuses; power plants; refineries; security breach detection; security personnel/resource management; security systems; video surveillance; Air safety; Application software; Computer vision; Computerized monitoring; Foot; Power generation; Protection; Refining; Snow; Video surveillance;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/MAES.2003.1201453
  • Filename
    1201453