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Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video

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dc.contributor.author Günay, Osman
dc.contributor.author Töreyin, Behçet Uğur
dc.contributor.author Köse, Kıvanç
dc.contributor.author Çetin, Enis
dc.date.accessioned 2017-02-28T13:22:54Z
dc.date.available 2017-02-28T13:22:54Z
dc.date.issued 2012-05
dc.identifier.citation Günay, O...et al. (2012). Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video. IEEE Transactions On Image Processing, 21(5), 2853-2865. http://dx.doi.org/10.1109/TIP.2012.2183141 tr_TR
dc.identifier.issn 1057-7149
dc.identifier.uri http://hdl.handle.net/20.500.12416/1341
dc.description.abstract In 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. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE-Inst Electrical Electronics Engineers Inc tr_TR
dc.relation.isversionof 10.1109/TIP.2012.2183141 tr_TR
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Active Learning tr_TR
dc.subject Decision Fusion tr_TR
dc.subject Entropy Maximization tr_TR
dc.subject Online Learning tr_TR
dc.subject Projections Onto Convex Sets tr_TR
dc.subject Wildfire Detection Using Video tr_TR
dc.title Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video tr_TR
dc.type article tr_TR
dc.relation.journal IEEE Transactions On Image Processing tr_TR
dc.contributor.authorID 19325 tr_TR
dc.identifier.volume 21 tr_TR
dc.identifier.issue 5 tr_TR
dc.identifier.startpage 2853 tr_TR
dc.identifier.endpage 2865 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği tr_TR


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