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dc.contributor.authorCáceres Hernández, Danilo
dc.contributor.authorHyun Jo, Kang
dc.contributor.authorFilonenko, Alexander
dc.date.accessioned2018-06-28T20:38:51Z
dc.date.available2018-06-28T20:38:51Z
dc.date.issued01/28/2015
dc.identifierhttps://ieeexplore.ieee.org/abstract/document/7103719/
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/5084
dc.descriptionThis paper describes the smoke detection for static cameras. The background subtraction was used to determine moving objects. Color characteristics were utilized to distinguish smoke regions and other scene members. Separate pixels were united into blobs by morphology operations and connected components labeling methods. The image is then refined by boundary roughness and edge density to decrease amount of false detections. Results of the current frame are compared to the previous one in order to check the behavior of objects in time domain.en_US
dc.description.abstractThis paper describes the smoke detection for static cameras. The background subtraction was used to determine moving objects. Color characteristics were utilized to distinguish smoke regions and other scene members. Separate pixels were united into blobs by morphology operations and connected components labeling methods. The image is then refined by boundary roughness and edge density to decrease amount of false detections. Results of the current frame are compared to the previous one in order to check the behavior of objects in time domain.en_US
dc.formatapplication/pdf
dc.formattext/html
dc.languageeng
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectImage color analysisen_US
dc.subjectCameras,en_US
dc.subjectImage edge detectionen_US
dc.subjectVideosen_US
dc.subjectImage resolutionen_US
dc.subjectMorphologyen_US
dc.subjectProbabilityen_US
dc.titleSmoke detection for static camerasen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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