Ses ve video işaretlerinde saklı markof modeli tabanlı düşen kişi tespiti

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.contributor.authorTöreyin, B. Uğuren_US
dc.contributor.authorDedeoğlu, Yiğithanen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialAntalya, Turkey
dc.date.accessioned2016-02-08T11:46:27Z
dc.date.available2016-02-08T11:46:27Z
dc.date.issued2006-04en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractAutomatic detection of a falling person in video is an important problem with applications in security and safety areas including supportive home environments and CCTV surveillance systems. Human motion in video is modeled using Hidden Markov Models (HMM) in this paper. In addition, the audio track of the video is also used to distinguish a person simply sitting on a floor from a person stumbling and falling. Most video recording systems have the capability of recording audio as well and the impact sound of a falling person is also available as an additional clue. Audio channel data based decision is also reached using HMMs and fused with results of HMMs modeling the video data to reach a final decision. © 2006 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:46:27Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006en
dc.detailsDate of Conference: 17-19 April 2006
dc.detailsConference name: IEEE 14th Signal Processing and Communications Applications, 2006
dc.identifier.doi10.1109/SIU.2006.1659753en_US
dc.identifier.urihttp://hdl.handle.net/11693/27168
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/SIU.2006.1659753en_US
dc.source.titleIEEE 14th Signal Processing and Communications Applications Conference, 2006en_US
dc.subjectAudio channel dataen_US
dc.subjectAudio tracksen_US
dc.subjectCCTV surveillance systemsen_US
dc.subjectVideo recording systemsen_US
dc.subjectClosed circuit television systemsen_US
dc.subjectComputer simulationen_US
dc.subjectProblem solvingen_US
dc.subjectVideo recordingen_US
dc.subjectHidden Markov modelsen_US
dc.titleSes ve video işaretlerinde saklı markof modeli tabanlı düşen kişi tespitien_US
dc.title.alternativeHMM based falling person detection using both audio and videoen_US
dc.typeConference Paperen_US

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