• DocumentCode
    2669416
  • Title

    Adaptive predetection and off-board track and decision level fusion for enhanced surveillance

  • Author

    Kadar, Ivan

  • Author_Institution
    Northrop Grumman Corp., Bethpage, NY, USA
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    A perceptual reasoning system adaptively extracting, associating and fusing information from multiple sources, at various levels of abstraction, is considered as the building block for the next generation of surveillance systems. A system architecture is presented which makes use of both centralized and distributed predetection fusion combined with intelligent monitor and control coupling both on-platform and off-board track and decision level fusion results. The goal of this system is to create a “gestalt fused sensor system” whose information product is greater than the sum of the information products from the individual performance superior to either individual or sub-group of combined sensors. The application of this architectural concept to the law enforcement arena utilizing multiple spatially and temporally diverse surveillance platforms and/or information sources can be used to illustrate the benefits of the adaptive perceptual reasoning system concept
  • Keywords
    adaptive systems; inference mechanisms; knowledge based systems; monitoring; sensor fusion; surveillance; abstraction; adaptive perceptual reasoning system; adaptive predetection fusion; decision level fusion; fused sensor; intelligent control; intelligent monitor; off-board track; surveillance systems; Centralized control; Control systems; Data mining; Intelligent control; Intelligent sensors; Law enforcement; Monitoring; Sensor fusion; Sensor systems; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7803-2072-7
  • Type

    conf

  • DOI
    10.1109/MFI.1994.398424
  • Filename
    398424