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Anomaly detection using the Nash equilibrium in a multi-agent system

: Anneken, M.

Beyerer, Jürgen (Ed.); Pak, Alexey (Ed.):
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2016. Proceedings : Triberg-Nussbach, July, 24 to 29, 2016
Karlsruhe: KIT Scientific Publishing, 2017 (Karlsruher Schriften zur Anthropomatik 33)
ISBN: 978-3-7315-0678-2
DOI: 10.5445/KSP/1000070009
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2016, Triberg-Nussbach>
Conference Paper
Fraunhofer IOSB ()

In order to support operators of surveillance systems and to improve
their situation awareness, the automatic detection of unusual behavior
and anomalies can provide an essential contribution. As the amount of available data increases due to cheaper and more proficient sensor systems like video cameras and radar systems, a human operator might not be able to
cope with it. This might result in a misinterpreted situation and ultimately
in making wrong decisions. Therefore, this report deals with an anomaly
detection algorithm based on a multi-agent system. Each object in the monitored area is modeled as an agent with its own utility function. The agents are supposed to behave in a rational way. As the Nash equilibrium is a game theoretic concept to utilize rational behavior, the approach in this report is to use this solution concept to model the agents' behavior.