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Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

Torna all'elenco Report e working Paper anno 2019

Report e working Paper

Tipo: Rapporto tecnico

Titolo: Towards a forensic event ontology to assist video surveillance-based vandalism detection

Anno di pubblicazione: 2019

Formato: Elettronico

Autori: Sobhani F.; Straccia U.

Affiliazioni autori: Queen Mary University of London, London, UK; CNR-ISTI, Pisa, Italy

Autori CNR:

  • UMBERTO STRACCIA

Lingua: inglese

Sintesi: 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.

Lingua sintesi: eng

Pagine da: 1

Pagine a: 24

Pagine totali: 24

Editore: Arxiv, Preprint server (USA)

Parole chiave:

  • Forensic Event Ontology
  • Vandalism Detection
  • Description Logics
  • Learning GCIs

URL: https://arxiv.org/abs/1903.09012

Altre informazioni: Codice arXiv abs/1903.09012

Strutture CNR:

Allegati: Sobhani19 (application/pdf)
arXiv Version

 
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