Entropy-functional-based online adaptive decision fusion framework with application to wildfire detection in video

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage2865en_US
dc.citation.issueNumber5en_US
dc.citation.spage2853en_US
dc.citation.volumeNumber21en_US
dc.contributor.authorGunay, O.en_US
dc.contributor.authorToreyin, B. U.en_US
dc.contributor.authorKose, K.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2015-07-28T12:04:47Z
dc.date.available2015-07-28T12:04:47Z
dc.date.issued2012-01-09en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this paper, an entropy-functional-based online adaptive decision fusion (EADF) framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several subalgorithms, each of which yields its own decision as a real number centered around zero, representing the confidence level of that particular subalgorithm. Decision values are linearly combined with weights that are updated online according to an active fusion method based on performing entropic projections onto convex sets describing subalgorithms. It is assumed that there is an oracle, who is usually a human operator, providing feedback to the decision fusion method. A video-based wildfire detection system was developed to evaluate the performance of the decision fusion algorithm. In this case, image data arrive sequentially, and the oracle is the security guard of the forest lookout tower, verifying the decision of the combined algorithm. The simulation results are presented.en_US
dc.description.sponsorshipScientific and Technical Research Council of Turkey (TUBITAK)en_US
dc.identifier.doi10.1109/TIP.2012.2183141en_US
dc.identifier.issn1057-7149
dc.identifier.urihttp://hdl.handle.net/11693/13152
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TIP.2012.2183141en_US
dc.source.titleIEEE Transactions on Image Processingen_US
dc.subjectActive learningen_US
dc.subjectDecision fusionen_US
dc.subjectEntropy maximizationen_US
dc.subjectOnline learningen_US
dc.subjectProjections onto convex setsen_US
dc.subjectWildfire detection using videoen_US
dc.titleEntropy-functional-based online adaptive decision fusion framework with application to wildfire detection in videoen_US
dc.typeArticleen_US

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