Facility Security Reasoning in a Hybrid Intelligent Tracking System
نویسندگان
چکیده
A hybrid intelligent expert system is being developed for the Adaptive Multisensor Integrated Security System (AMISS) to identify threatening patterns of behavior in a nuclear facility 2, 3]. The focus of this paper is the sensor fusion strategy used to create the input to the rule-based and neural network reasoning systems. The sensor fusion components of the AMISS system use a number of data processing techniques to accomplish its mission of combining disparate sensor data types in a noisy and uncertain environment.
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