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Fish Monitoring and Sizing Using Computer Vision

  • Conference paper
Book cover Bioinspired Computation in Artificial Systems (IWINAC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9108))

Abstract

This paper proposes an image processing algorithm, based in a non invasive 3D optical stereo system and the use of computer vision techniques, to study fish in fish tanks or pools.

The proposed technique will allow to study biological variables of different fish species in underwater environments.

This knowledge, may be used to replace traditional techniques such as direct observation, which are impractical or affect the fish behavior, in task such as aquarium and fish farm management or fishway evaluation.

The accuracy and performance of the proposed technique has been tested, conducting different assays with living fishes, where promising results were obtained.

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Author information

Authors and Affiliations

  1. Department of Information and Communications Technologies, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, Spain

    Alvaro Rodriguez, Angel J. Rico-Diaz & Juan R. Rabuñal

  2. Centre of Technological Innovation in Construction and Civil Engineering (CITEEC), University of A Coruña, Campus Elviña s/n, 15071, A Coruña, Spain

    Angel J. Rico-Diaz & Juan R. Rabuñal

  3. Department of Hydraulic Engineering (ETSECCP), University of A Coruña, Campus Elviña s/n, 15071, A Coruña, Spain

    Jeronimo Puertas & Luis Pena

Authors
  1. Alvaro Rodriguez
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  2. Angel J. Rico-Diaz
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  3. Juan R. Rabuñal
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  4. Jeronimo Puertas
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  5. Luis Pena
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Corresponding author

Correspondence to Alvaro Rodriguez .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Universidad Nacional de Educación a Distancia, Madrid, Spain

    Félix de la Paz López

  4. Universidad Politécnica de Cartagena, Cartagena, Spain

    Fco. Javier Toledo-Moreo

  5. Dept. Civil & Environmental Engin. Geodetic Science, Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

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© 2015 Springer International Publishing Switzerland

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Rodriguez, A., Rico-Diaz, A.J., Rabuñal, J.R., Puertas, J., Pena, L. (2015). Fish Monitoring and Sizing Using Computer Vision. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Bioinspired Computation in Artificial Systems. IWINAC 2015. Lecture Notes in Computer Science(), vol 9108. Springer, Cham. https://doi.org/10.1007/978-3-319-18833-1_44

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  • DOI: https://doi.org/10.1007/978-3-319-18833-1_44

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18832-4

  • Online ISBN: 978-3-319-18833-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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