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Model of surveillance system based on sound tracking

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dc.title Model of surveillance system based on sound tracking en
dc.contributor.author Papež, Martin
dc.contributor.author Vlček, Karel
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-33387-8
dc.identifier.isbn 978-3-319-33389-2
dc.date.issued 2016
utb.relation.volume 466
dc.citation.spage 267
dc.citation.epage 278
dc.event.title 5th Computer Science On-line Conference, CSOC 2016
dc.event.location Prague
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2016-04-27
dc.event.edate 2016-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-33389-2_26
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-33389-2_26
dc.subject Beamforming en
dc.subject Microphone array en
dc.subject Signal processing en
dc.subject Surveillance en
dc.description.abstract Research in the audio and video surveillance is gaining more popularity due to its wide-spread applications as well as social impact. There have been considerable efforts which are focused on developing various algorithms and models for surveillance systems. Recently, the attention in audio and video surveillance has turned towards to design autonomous detection system. In this paper a surveillance system based on sound source localization by a microphone array is presented. The design of microphone array has an important issue in the accuracy of source localization. For the surveillance application, beamforming algorithms are implemented to increase the tracking and detection performance. The real-time capabilities of an automated surveillance system are analyzed, providing a performance analysis of the localization system under different acoustic conditions. © Springer International Publishing Switzerland 2016. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006445
utb.identifier.obdid 43874886
utb.identifier.scopus 2-s2.0-84964700367
utb.identifier.wok 000385788100026
utb.source d-scopus
dc.date.accessioned 2016-07-26T14:58:32Z
dc.date.available 2016-07-26T14:58:32Z
utb.identifier.utb-sysno 87692
utb.contributor.internalauthor Papež, Martin
utb.contributor.internalauthor Vlček, Karel
utb.fulltext.affiliation Martin Papez and Karel Vlcek M. Papez (&) K. Vlcek (&) Faculty of Applied Informatics, Department of Computer and Communication Systems, Tomas Bata University in Zlin, Nad Stranemi 4511, 760 06 Zlin, Czech Republic e-mail: papez@fai.utb.cz K. Vlcek e-mail: vlcek@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported in frame of Internal Grant Agency of Tomas Bata University in Zlin, Faculty of Applied Informatics IGA/CebiaTech/2015/005 and IGA/FAI/2016/005.
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