Pubblicazione scientifica

Image Analysis Based Fish Tail Beat Frequency Estimation for Fishway Efficiency

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità
produzione e cattura
trasformazione e commercializzazione

RIASSUNTO

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.

DATA

Data di pubblicazione: 01/09/2018

AUTORI

YASIN YILDIRYM
B UGUR TOREYIN
SERHAT KUCUKALI
BULENT VEREP
DAVUT TURAN
AHMET ALP

ENTE DI AFFERENZA

INFORMATICS INST ISTANBUL TECH UNIV ISTANBUL TURKEY
DEPT CIVIL ENG CANKAYA UNIV ANKARA TURKEY
DEPT BASIC FISHERIES SCIENCES UNIV RECEP TAYYIP ERDOGAN RIZE TURKEY
DEPT FISHERIES UNIV KAHRAMANMARAS SUTCU IMAM KAHRAMANMARAS TURKEY

RIVISTA

2018 26th European Signal Processing Conference (EUSIPCO) (Page(s): 1790-1794)

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