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
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