Image analysis based fish tail beat frequency estimation for fishway efficiency

Yasin Yıldırım, B. Ugur Töreyin, Bülent Verep, Davut Turan, Serhat Küçükali, Ahmet Alp

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2018 26th European Signal Processing Conference, EUSIPCO 2018
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1790-1794
Number of pages5
ISBN (Electronic)9789082797015
DOIs
Publication statusPublished - 29 Nov 2018
Event26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italy
Duration: 3 Sept 20187 Sept 2018

Publication series

NameEuropean Signal Processing Conference
Volume2018-September
ISSN (Print)2219-5491

Conference

Conference26th European Signal Processing Conference, EUSIPCO 2018
Country/TerritoryItaly
CityRome
Period3/09/187/09/18

Bibliographical note

Publisher Copyright:
© EURASIP 2018.

Funding

This work is supported in part by the Scientific and Technical Research Council of Turkey under Scientific and Technological Research Projects Funding Program (1001 TÜB˙TAK) grant with agreement number 315M019 and Istanbul Technical University Scientific Research Project Program (BAP) grant with agreement number MGA-2017-40964. We thank Tanju Mutlu and Cüneyt Kaya for their help during the field study.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu315M019
Istanbul Teknik ÜniversitesiMGA-2017-40964

    Keywords

    • Environmental monitoring
    • Fish detection
    • Fishway
    • Frequency detection
    • Tail beat frequency

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