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 language | English |
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Title of host publication | 2018 26th European Signal Processing Conference, EUSIPCO 2018 |
Publisher | European Signal Processing Conference, EUSIPCO |
Pages | 1790-1794 |
Number of pages | 5 |
ISBN (Electronic) | 9789082797015 |
DOIs | |
Publication status | Published - 29 Nov 2018 |
Event | 26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italy Duration: 3 Sept 2018 → 7 Sept 2018 |
Publication series
Name | European Signal Processing Conference |
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Volume | 2018-September |
ISSN (Print) | 2219-5491 |
Conference
Conference | 26th European Signal Processing Conference, EUSIPCO 2018 |
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Country/Territory | Italy |
City | Rome |
Period | 3/09/18 → 7/09/18 |
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.
Funders | Funder number |
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Türkiye Bilimsel ve Teknolojik Araştirma Kurumu | 315M019 |
Istanbul Teknik Üniversitesi | MGA-2017-40964 |
Keywords
- Environmental monitoring
- Fish detection
- Fishway
- Frequency detection
- Tail beat frequency