Image Analysis Based Fish Tail Beat Frequency Estimation for Fishway Efficiency. Yildirym, Y., Töreyin, B. U., Küçükali, S., Verep, B., Turan, D., & Alp, A. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 1790-1794, Sep., 2018.
Image Analysis Based Fish Tail Beat Frequency Estimation for Fishway Efficiency [pdf]Paper  doi  abstract   bibtex   
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.
@InProceedings{8553199,
  author = {Y. Yildirym and B. U. Töreyin and S. Küçükali and B. Verep and D. Turan and A. Alp},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {Image Analysis Based Fish Tail Beat Frequency Estimation for Fishway Efficiency},
  year = {2018},
  pages = {1790-1794},
  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.},
  keywords = {aquaculture;cameras;correlation methods;frequency estimation;image processing;rivers;zoology;fish tail beat frequency estimation;fish energy consumption;fish passage structures;brush type fish pass;fish monitoring;fishway design;fish images;fishway efficiency;image analysis based fish tail beat frequency estimation;Videos;Correlation;Fish;Cameras;Rivers;Image analysis;fish detection;fishway;frequency detection;tail beat frequency;environmental monitoring},
  doi = {10.23919/EUSIPCO.2018.8553199},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570437333.pdf},
}
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