• DocumentCode
    2451007
  • Title

    Domain knowledge for surveillance applications

  • Author

    Snidaro, Lauro ; Belluz, Massimo ; Foresti, Gian Luca

  • Author_Institution
    Univ. of Udine, Udine
  • fYear
    2007
  • fDate
    9-12 July 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we address the problem of representing domain knowledge for situation awareness in a security application. While ontologies are appropriate for describing taxonomical knowledge, they cannot express more complex knowledge such as entailments. In this paper, we describe how domain knowledge can be encoded through OWL ontologies and SWRL rules in order to reason about the entities and their interactions in a surveillance application. We describe how events can be described through ontologies and how video sequences can be annotated using the MPEG-7 standard.
  • Keywords
    image sequences; ontologies (artificial intelligence); video signal processing; video surveillance; MPEG-7 standard; OWL ontologies; domain knowledge; surveillance applications; taxonomical knowledge; video sequences; Application software; Computer science; Event detection; Intelligent systems; MPEG 7 Standard; Mathematics; OWL; Ontologies; Streaming media; Surveillance; Ontologies; information fusion; situation awareness; video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2007 10th International Conference on
  • Conference_Location
    Quebec, Que.
  • Print_ISBN
    978-0-662-45804-3
  • Electronic_ISBN
    978-0-662-45804-3
  • Type

    conf

  • DOI
    10.1109/ICIF.2007.4408118
  • Filename
    4408118