2019/03/21 by Faranak Sobhani, Sobhani, Faranak, Umberto Straccia +1
Computer Science · #Artificial Intelligence (cs.AI) #Digital Media Forensic Detection #Digital and Cyber Forensics #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Video Analysis and Summarization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1903.09012
openalex publication_date 2019/03/21 · openalex created_date 2019/04/01 · openalex updated_date 2026/07/28
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.