This work addresses the boundary patrolling problem, where a smart camera network undertakes the task of monitoring the perimeter of an environment so as to detect anomalies and track possible intrusions. Here, a distributed solution is sought based on the definition of a suitable functional that accounts both for the equitable partitioning of the available space and for the quality of vision of the patrolled area, and admits a unique optimal solution. The optimization of such functional leads to the design of an algorithm relying on a symmetric gossip communication protocol among the neighboring cameras. The theoretical results prove the correctness of the approach and the numerical simulations on a realistic scenario confirm its validity.

Distributed partitioning strategies with visual optimization for camera network perimeter patrolling

BELGIOIOSO, GIUSEPPE;CENEDESE, ANGELO;MICHIELETTO, GIULIA
2016

Abstract

This work addresses the boundary patrolling problem, where a smart camera network undertakes the task of monitoring the perimeter of an environment so as to detect anomalies and track possible intrusions. Here, a distributed solution is sought based on the definition of a suitable functional that accounts both for the equitable partitioning of the available space and for the quality of vision of the patrolled area, and admits a unique optimal solution. The optimization of such functional leads to the design of an algorithm relying on a symmetric gossip communication protocol among the neighboring cameras. The theoretical results prove the correctness of the approach and the numerical simulations on a realistic scenario confirm its validity.
2016 IEEE 55th Conference on Decision and Control, CDC 2016
9781509018376
9781509018376
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11577/3221309
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