A bio-inspired knowledge representation method for anomaly detection in cognitive Video Surveillance systems

Simone Chiappino, Pietro Morerio, Lucio Marcenaro, Carlo S. Regazzoni

Abstract: Human behaviour analysis has important applications in the field of anomaly management, such as Intelligent Video Surveillance (IVS). As the number of individuals in a scene increases, however, new macroscopic complex behaviours emerge from the underlying interaction network among multiple agents. This phenomenon has lately been investigated by modelling such interaction through Social Forces.