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
Link To Document :
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