Flame detection system based on wavelet analysis of PIR sensor signals with an HMM decision mechanism

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage5en_US
dc.citation.spage1en_US
dc.contributor.authorUg̃ur Töreyin, B.en_US
dc.contributor.authorSoyer, E. Bireyen_US
dc.contributor.authorUrfaliog̃lu, Onayen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialLausanne, Switzerland
dc.date.accessioned2016-02-08T11:36:00Z
dc.date.available2016-02-08T11:36:00Z
dc.date.issued2008-08en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 25-29 Aug. 2008
dc.descriptionConference name: 16th European Signal Processing Conference, 2008
dc.description.abstractIn this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an uncontrolled fire and ordinary activity of human beings and other objects are modeled using a set of Hidden Markov Models (HMM), which are trained using the wavelet transform of the PIR sensor signal. Whenever there is an activity within the viewing range of the PIR sensor system, the sensor signal is analyzed in the wavelet domain and the wavelet signals are fed to a set of HMMs. A fire or no fire decision is made according to the HMM producing the highest probability. copyright by EURASIP.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:36:00Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008en
dc.identifier.urihttp://hdl.handle.net/11693/26793
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttps://ieeexplore.ieee.org/document/7080299
dc.source.title16th European Signal Processing Conference, 2008en_US
dc.subjectDecision mechanismen_US
dc.subjectFire detectionen_US
dc.subjectFlame detectionen_US
dc.subjectFlame flickeren_US
dc.subjectHuman beingen_US
dc.subjectSensor signalsen_US
dc.subjectSensor systemsen_US
dc.subjectWavelet domainen_US
dc.subjectHidden Markov modelsen_US
dc.subjectWavelet analysisen_US
dc.subjectSensorsen_US
dc.titleFlame detection system based on wavelet analysis of PIR sensor signals with an HMM decision mechanismen_US
dc.typeConference Paperen_US

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