DocumentCode
2701698
Title
Representing and recognizing complex events in surveillance applications
Author
Snidaro, Lauro ; Belluz, Massimo ; Foresti, Gian Luca
Author_Institution
Univ. of Udine, Udine
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
493
Lastpage
498
Abstract
In this paper, we investigate the problem of representing and maintaining rule knowledge for a video surveillance application. We focus on complex events representation which cannot be straightforwardly represented by canonical means. In particular, we highlight the ongoing efforts for a unifying framework for computable rule and taxonomical knowledge representation.
Keywords
knowledge representation; video surveillance; complex events; complex events representation; taxonomical knowledge representation; video surveillance application; Application software; Computer science; Engines; Intelligent systems; Knowledge representation; Mathematics; OWL; Ontologies; Semantic Web; Video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
Conference_Location
London
Print_ISBN
978-1-4244-1696-7
Electronic_ISBN
978-1-4244-1696-7
Type
conf
DOI
10.1109/AVSS.2007.4425360
Filename
4425360
Link To Document