A bio-inspired system model for interactive surveillance applications

Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have handled the problem of how the system, along with a human operator, can actively cope with detected anomalous events. In this paper, on the basis of recent studies on artificial cognitive systems, a general framework is proposed for designing interactive, adaptable and intelligent surveillance systems. The aim of the system is to react to situations in a preventive way using actuators installed in the monitored environment. An application of the proposed system is introduced where a guard is supported in pursuing an intruder. The operator is first localized and tracked and then multi-modal guidance messages are communicated to him on a mobile device. Previous experience on the interaction dynamics between the two players is provided by a simulator, modeling guard and intruder behaviors, to predict near futu...

• Type: Journal
• Year: 2011
• Where: JAISE
• Authors: Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, Carlo S. Regazzoni
• Keywords: Algorithms, Future Events, JAISE 2011, Pattern Recognition Research, Surveillance Systems