Faranak Sobhani and Umberto Straccia.
Towards a Forensic Event Ontology to Assist
Video Surveillance-based Vandalism Detection.
In 34th Italian Conference on Computational Logic (CILC-19),
The detection and representation of events is a critical element in
automated surveillance systems. We present here an ontology for
representing complex semantic events to assist video
surveillance-based vandalism detection. The ontology contains the
definition of a rich and articulated event vocabulary that is
aimed at aiding forensic analysis to objectively identify and
represent complex events. Our ontology has then been
applied in the context of London Riots, which took place in 2011. We
report also on the experiments conducted to support the
classification of complex criminal events from video data.