CUDA based implementation of flame detection algorithms in day and infrared camera videos

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buir.advisorÇetin, A. Enis
dc.contributor.authorHamzaçebi, Hasan
dc.date.accessioned2016-01-08T18:15:53Z
dc.date.available2016-01-08T18:15:53Z
dc.date.issued2011
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Graduate School of Engineering and Science of Bilkent University, 2011.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2011.en_US
dc.descriptionIncludes bibliographical references leaves 52-54.en_US
dc.description.abstractAutomatic fire detection in videos is an important task but it is a challenging problem. Video based high performance fire detection algorithms are important for the detection of forest fires. The usage area of fire detection algorithms can further be extended to the places like state and heritage buildings, in which surveillance cameras are installed. In uncontrolled fires, early detection is crucial to extinguish the fire immediately. However, most of the current fire detection algorithms either suffer from high false alarm rates or low detection rates due to the optimization constraints for real-time performance. This problem is also aggravated by the high computational complexity in large areas, where multicamera surveillance is required. In this study, our aim is to speed up the existing color video fire detection algorithms by implementing in CUDA, which uses the parallel computational power of Graphics Processing Units (GPU). Our method does not only speed up the existing algorithms but it can also reduce the optimization constraints for real-time performance to increase detection probability without affecting false alarm rates. In addition, we have studied several methods that detect flames in infrared video and proposed an improvement for the algorithm to decrease the false alarm rate and increase the detection rate of the fire.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityHamzaçebi, Hasanen_US
dc.format.extentxiv, 54 leaves, illustrationsen_US
dc.identifier.urihttp://hdl.handle.net/11693/15271
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFlame Detectionen_US
dc.subjectFire Detectionen_US
dc.subjectGraphics Processing Unit (GPU)en_US
dc.subjectCompute Unified Device Architecture (CUDA)en_US
dc.subjectInfrared (IR) Videoen_US
dc.subjectColor Videoen_US
dc.subject.lccTA1637 .H35 2011en_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.lcshFires--Computer simulation.en_US
dc.subject.lcshFire detectors.en_US
dc.subject.lcshInfrared detectors.en_US
dc.subject.lcshAutomatic control.en_US
dc.titleCUDA based implementation of flame detection algorithms in day and infrared camera videosen_US
dc.typeThesisen_US
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