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dc.contributor.authorTöreyin, B. U.en_US
dc.contributor.authorCinbiş, R. G.en_US
dc.contributor.authorDedeoğlu, Y.en_US
dc.contributor.authorÇetin, A. E.en_US
dc.date.accessioned2016-02-08T10:14:10Z
dc.date.available2016-02-08T10:14:10Z
dc.date.issued2007en_US
dc.identifier.issn0091-3286
dc.identifier.urihttp://hdl.handle.net/11693/23455
dc.description.abstractA novel method to detect flames in infrared (IR) video is proposed. Image regions containing flames appear as bright regions in IR video. In addition to ordinary motion and brightness clues, the flame flicker process is also detected by using a hidden Markov model (HMM) describing the temporal behavior. IR image frames are also analyzed spatially. Boundaries of flames are represented in wavelet domain and the high frequency nature of the boundaries of fire regions is also used as a clue to model the flame flicker. All of the temporal and spatial clues extracted from the IR video are combined to reach a final decision. False alarms due to ordinary bright moving objects are greatly reduced because of the HMM-based flicker modeling and wavelet domain boundary modeling.en_US
dc.language.isoEnglishen_US
dc.source.titleOptical Engineeringen_US
dc.relation.isversionofhttps://doi.org/10.1117/1.2748752en_US
dc.titleFire detection in infrared video using wavelet analysisen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage19313 (1-7)en_US
dc.citation.volumeNumber46en_US
dc.citation.issueNumber6en_US
dc.identifier.doi10.1117/1.2748752en_US
dc.publisherSPIE - International Society for Optical Engineeringen_US
dc.identifier.eissn1560-2303


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