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dc.contributor.authorSharif, Haidar
dc.contributor.authorGalip, Feyza
dc.contributor.authorGüler, Adil
dc.contributor.authorUyaver, Şahin
dc.date.accessioned2021-01-08T21:51:28Z
dc.date.available2021-01-08T21:51:28Z
dc.date.issued2015
dc.identifier.isbn978-1-4673-9930-2
dc.identifier.urihttps://hdl.handle.net/20.500.12846/292
dc.description18th International Conference on Computer and Information Technology (ICCIT), DEC 21-23, 2015, Dhaka, BANGLADESHen_US
dc.descriptionWOS:000389308000063en_US
dc.description.abstractFishes are of great importance to the ecosystem. Behavior of fishes is interesting. Counting and tracking of fishes can provide good knowledge about the behavior of fishes. Counting and behavior quantifying of fishes within a turbulence or trawl environment are challenging tasks. The traditional methods are not only inefficient but also expensive. Thus counting and tracking under water fishes from videos are emerging topic for ichthyologists. This paper addresses a simple method to count and track underwater fishes from videos. It is a hybrid of background subtraction, Hungarian algorithm, and Kalman filter. It enables tracking of fishes whose number can vary over time. Theoretical runtime of the tracking algorithm is O(n(3)) with problem size n. Experimental results demonstrate its effectiveness.en_US
dc.language.isoengen_US
dc.publisherIeeeen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleA simple approach to count and track underwater fishes from videosen_US
dc.typeconferenceObjecten_US
dc.relation.journal2015 18Th International Conference On Computer And Information Technology (Iccit)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.departmentTAÜ, Fen Fakültesi, Enerji Bilimi ve Teknolojileri Bölümüen_US
dc.contributor.institutionauthorUyaver, Şahin
dc.identifier.startpage347en_US
dc.identifier.endpage352en_US
dc.identifier.wosqualityN/Aen_US
dc.identifier.scopusqualityN/Aen_US


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