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Two-Stage Classification Model for Feather Images Identification

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Pattern Recognition. ICPR International Workshops and Challenges (ICPR 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12665))

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Abstract

The paper explores the usage of neural networks for bird species identification based on feathers image. The taxonomic identification of birds’ feather is widely used in aviation ornithology to analyze collisions with aircraft and develop methods to prevent them. This article presents a novel dataset consisting of 28,272 images of the plumage of 595 bird species. We compare models trained on four subsets from the initial dataset. We propose the method of identifying bird species based on YoloV4 and DenseNet models. The experimental estimation showed that the resulted method makes it possible to identify the bird based on the photograph of the single feather with an accuracy up to 81,03% for precise classification and with accuracy 97,09% for of the first five predictions of the classifier.

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Author information

Authors and Affiliations

  1. Samara National Research University, Samara, 443086, Russian Federation

    Alina Belko & Andrey Kunznetsov

  2. National University of Science and Technology “MISIS”, Moscow, 119049, Russian Federation

    Konstantin Dobratulin

Authors
  1. Alina Belko
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  2. Konstantin Dobratulin
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  3. Andrey Kunznetsov
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Corresponding author

Correspondence to Alina Belko .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Alberto Del Bimbo

  2. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Rita Cucchiara

  3. Department of Computer Science, Boston University, Boston, MA, USA

    Stan Sclaroff

  4. Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

    Giovanni Maria Farinella

  5. Cloud & AI, JD.COM, Beijing, China

    Tao Mei

  6. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Marco Bertini

  7. Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Puebla, Mexico

    Hugo Jair Escalante

  8. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Roberto Vezzani

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Belko, A., Dobratulin, K., Kunznetsov, A. (2021). Two-Stage Classification Model for Feather Images Identification. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12665. Springer, Cham. https://doi.org/10.1007/978-3-030-68821-9_17

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  • DOI: https://doi.org/10.1007/978-3-030-68821-9_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68820-2

  • Online ISBN: 978-3-030-68821-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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