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Image Analysis Based Fish Tail Beat Frequency Estimation for Fishway Efficiency

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dc.contributor.author Yıldırım, Yasin
dc.contributor.author Töreyin, Behçet Uğur
dc.contributor.author Küçükali, Serhat
dc.contributor.author Verep, Bülent
dc.contributor.author Turan, Davut
dc.contributor.author Alp, Ahmet
dc.date.accessioned 2020-04-14T13:58:18Z
dc.date.available 2020-04-14T13:58:18Z
dc.date.issued 2018
dc.identifier.issn 2076-1465
dc.identifier.uri http://hdl.handle.net/20.500.12416/3121
dc.description.abstract In this paper, we propose image analysis based methods for estimating fish tail beat frequency, which is an indicator of fish energy consumption at fish passage structures. For this purpose, average magnitude difference and autocorrelation function based periodicity detection techniques are utilized. Actual fish images are acquired using a visible range camera installed in a brush type fish pass in Ikizdere River, near Rize, Turkey, which is very rich in biodiversity. Results show that image analysis based periodicity detection methods can be used for fishway efficiency evaluation purposes. To the best of authors' knowledge, this is the first study that automatically estimates fish tail beat frequency using image analysis. The findings of this study are expected to have implications for fish monitoring and fishway design. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE Computer Soc tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Fish Detection tr_TR
dc.subject Fishway tr_TR
dc.subject Environmental Monitoring tr_TR
dc.title Image Analysis Based Fish Tail Beat Frequency Estimation for Fishway Efficiency tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2018 26th European Signal Processing Conference (EUSIPCO) tr_TR
dc.contributor.authorID 20413 tr_TR
dc.identifier.startpage 1790 tr_TR
dc.identifier.endpage 1794 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü tr_TR


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