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