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

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.