Fire and flame detection methods in images and videos

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buir.advisorÇetin, A. Enis
dc.contributor.authorHabiboğlu, Yusuf Hakan
dc.date.accessioned2016-01-08T18:13:53Z
dc.date.available2016-01-08T18:13:53Z
dc.date.issued2010
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent University, 2010.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2010.en_US
dc.descriptionIncludes bibliographical references leaves 49-51.en_US
dc.description.abstractIn this thesis, automatic fire detection methods are studied in color domain, spatial domain and temporal domain. We first investigated fire and flame colors of pixels. Chromatic Model, Fisher’s linear discriminant, Gaussian mixture color model and artificial neural networks are implemented and tested for flame color modeling. For images a system that extracts patches and classifies them using textural features is proposed. Performance of this system is given according to different thresholds and different features. A real-time detection system that uses information in color, spatial and temporal domains is proposed for videos. This system, which is develop by modifying previously implemented systems, divides video into spatiotemporal blocks and uses features extracted from these blocks to detect fire.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityHabiboğlu, Yusuf Hakanen_US
dc.format.extentix, 51 leaves, illustrationsen_US
dc.identifier.urihttp://hdl.handle.net/11693/15131
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFisher’s linear discriminanten_US
dc.subjectGabor filtersen_US
dc.subjectcodifference descriptorsen_US
dc.subjectcovariance descriptorsen_US
dc.subjectartificial neural networksen_US
dc.subject.lccTA1637 .H33 2010en_US
dc.subject.lcshImage processing--Digital techniques.en_US
dc.subject.lcshComputer vision.en_US
dc.subject.lcshVideo compression.en_US
dc.subject.lcshVisual texture recognition.en_US
dc.subject.lcshColor.en_US
dc.subject.lcshFire detectors.en_US
dc.subject.lcshAutomatic control.en_US
dc.subject.lcshNeural networks (Computer science)en_US
dc.subject.lcshArtificial intelligence.en_US
dc.titleFire and flame detection methods in images and videosen_US
dc.typeThesisen_US

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Dept. of Electrical and Electronics Engineering - Master's degree