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dc.contributor.authorPersia F
dc.contributor.authorD'Auria D
dc.contributor.authorSperlì G
dc.contributor.authorTufano A
dc.contributor.editorFujita H
dc.contributor.editorGuizzi G
dc.date.accessioned2019-09-11T07:54:41Z
dc.date.available2019-09-11T07:54:41Z
dc.date.issued2015
dc.identifier.isbn978-3-319-22688-0
dc.identifier.issn1865-0929
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-22689-7_40
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-319-22689-7_40
dc.identifier.urihttps://bia.unibz.it/handle/10863/10498
dc.description.abstractSecurity has been raised at major public buildings in the most famous and crowded cities all over the world following the terrorist attacks of the last years, the latest one at the Bardo museum in the centre of Tunis. For that reason, video surveillance systems have become more and more essential for detecting and hopefully even prevent dangerous events in public areas. In this paper, we present a prototype for anomaly detection in video surveillance context. The whole process is described, starting from the video frames captured by sensors/cameras till at the end some well-known reasoning algorithms for finding potentially dangerous activities are applied. The conducted experiments confirm the efficiency and the effectiveness achieved by our prototype.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation14th International Conference of Intelligent Software Methodologies, Tools and Techniques (SoMet 2015) ; Naples : 15.9.2015 - 17.9.2015
dc.relation.ispartofseriesCommunications in Computer and Information Science;
dc.rights
dc.titleA Prototype for Anomaly Detection in Video Surveillance Contexten_US
dc.typeBook chapteren_US
dc.date.updated2019-09-11T03:00:21Z
dc.publication.titleIntelligent Software Methodologies, Tools and Techniques : 14th International Conference, SoMet 2015, Naples, Italy, September 15-17, 2015. Proceedings
dc.language.isiEN-GB
dc.description.fulltextopenen_US


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