Title :
Adaptive predetection and off-board track and decision level fusion for enhanced surveillance
Author_Institution :
Northrop Grumman Corp., Bethpage, NY, USA
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;
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
DOI :
10.1109/MFI.1994.398424