Agents Swarming in Semantic Spaces to Corroborate Hypotheses
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Trust-Based Classifier Combination for Network Anomaly Detection
CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
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Security systems can observe and hear almost anyone every-where. However, it is impossible to employ an adequate number of human experts to analyze the information explosion. In this paper we present an autonomous multi-agent framework which, as an input, obtains biometric information acquired at a set of locations. The framework aims in real-time to point out individuals who act according to a suspicious pattern across these locations. The system works in large-scale scenarios. We present a scenario to demonstrate the usefulness of the framework. The goal is to point out individuals who visited a sequence of airports using face recognition algorithms. Simulation results show a high overall accuracy of our system in real-time.