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dc.contributor.authorSaggese, Alessia
dc.date.accessioned2014-07-11T09:12:19Z
dc.date.available2014-07-11T09:12:19Z
dc.date.issued2014-02-28
dc.identifier.urihttp://hdl.handle.net/10556/1487
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-330
dc.description2012 - 2013en_US
dc.description.abstractIn the last decades we have assisted to a growing need for security in many public environments. According to a study recently conducted by the European Security Observatory, one half of the entire population is worried about the crime and requires the law enforcement to be protected. This consideration has lead the proliferation of cameras and microphones, which represent a suitable solution for their relative low cost of maintenance, the possibility of installing them virtually everywhere and, finally, the capability of analysing more complex events. However, the main limitation of this traditional audiovideo surveillance systems lies in the so called psychological overcharge issue of the human operators responsible for security, that causes a decrease in their capabilities to analyse raw data flows from multiple sources of multimedia information; indeed, as stated by a study conducted by Security Solutions magazine, after 12 minutes of continuous video monitoring, a guard will often miss up to 45% of screen activity. After 22 minutes of video, up to 95% is overlooked. For the above mentioned reasons, it would be really useful to have available an intelligent surveillance system, able to provide images and video with a semantic interpretation, for trying to bridge the gap between their low-level representation in terms of pixels, and the high-level, natural language description that a human would give about them. On the other hand, this kind of systems, able to automatically understand the events occurring in a scene, would be really useful in other application fields, mainly oriented to marketing purposes. Especially in the last years, a lot of business intelligent applications have been installed for assisting decision makers and for giving an organization’s employees, partners and suppliers easy access to the information they need to effectively do their jobs... [edited by author]en_US
dc.language.isoenen_US
dc.publisherUniversita degli studi di Salernoen_US
dc.subjectCamerasen_US
dc.subjectMicrophonesen_US
dc.subjectIntelligent surveillance systemen_US
dc.titleDetecting and indexing moving objects for Behavior Analysis by Video and Audio Interpretationen_US
dc.typeDoctoral Thesisen_US
dc.subject.miurING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONIen_US
dc.contributor.coordinatoreMarcelli, Angeloen_US
dc.contributor.coordinatoreJurie, Frédéricen_US
dc.description.cicloXII n.s.en_US
dc.contributor.tutorVento, Marioen_US
dc.contributor.tutorBrun, Lucen_US
dc.identifier.DipartimentoIngegneria dell'Informazione, Ingegneria elettrica e Matematica applicataen_US
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