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Computer Vision Algorithms Fishing Vessel Monitoring—Identification of Vessel Plate Number

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Book cover Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017) (ISAmI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 615))

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Abstract

In this research work we developed a set of algorithms and approaches for vessel plate number identification, to be integrated in a Vessel Monitoring System (VMS). In addition, it was developed a solution that allows the creation of a history log of port exits/entries to assist the monitoring activities. This system will be based on a database and image processing equipment for use in the port, which will allow the identification of passing vessels (through the capture and processing of profile images of the vessel in order to identify the call sign, IMO or registration).

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References

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Acknowledgements

This work was supported by national funds through National Portuguese funds PT2020 under the project name SeaITall—Sistema para Gestão Integrada de Pescas identified by the number CENTRO-01-0247-FEDER-017693.

Author information

Authors and Affiliations

  1. Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, Lisboa, Portugal

    Joao C. Ferreira & Jorge Branquinho

  2. INOV INESC INOVAÇÃO, Lisboa, Portugal

    Joao C. Ferreira, Jorge Branquinho, Paulo Chaves Ferreira & Fernando Piedade

  3. Centro Algoritmi, University of Minho, 4800-058, Guimarães, Portugal

    Joao C. Ferreira

  4. Escola Superior Náutica Infante Dom Henrique- ENIDH, Paço de Arcos, Portugal

    Paulo Chaves Ferreira

Authors
  1. Joao C. Ferreira
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  2. Jorge Branquinho
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  3. Paulo Chaves Ferreira
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  4. Fernando Piedade
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Corresponding author

Correspondence to Joao C. Ferreira .

Editor information

Editors and Affiliations

  1. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Salamanca, Spain

    Juan F. De Paz

  2. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia , Valencia, Valencia, Spain

    Vicente Julián

  3. Departamento de Informática y Automática, Universidad de Salamanca , Salamanca, Salamanca, Spain

    Gabriel Villarrubia

  4. Instituto Superior de Engenharia do Porto, GECAD , Porto, Portugal

    Goreti Marreiros

  5. ALGORITMI Center/Departamento de Informática, University of Minho, Braga, Portugal

    Paulo Novais

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Ferreira, J.C., Branquinho, J., Ferreira, P.C., Piedade, F. (2017). Computer Vision Algorithms Fishing Vessel Monitoring—Identification of Vessel Plate Number. In: De Paz, J., Julián, V., Villarrubia, G., Marreiros, G., Novais, P. (eds) Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017). ISAmI 2017. Advances in Intelligent Systems and Computing, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-61118-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-61118-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61117-4

  • Online ISBN: 978-3-319-61118-1

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