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UAVs Applied to the Counting and Monitoring of Animals

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Ambient Intelligence - Software and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 291))

Abstract

The advantages of intelligent approaches such as the conjunction of artificial vision and the use of Unmanned Aerial Vehicles (UAVs) have been recently emerging. This paper presents a focused on obtaining scans of large areas of livestock system. Counting and monitoring of animal species can be performed with video recordings taken from UAVs. Moreover the system keeps track of the number of animals detected by analyzing the images taken with the UAVs cameras. Several tests have been performed to evaluate this system and preliminary results and the conclusions are presented in this paper.

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Author information

Authors and Affiliations

  1. Computer and Automation Department, University of Salamanca, Salamanca, Spain

    Pablo Chamoso, William Raveane, Victor Parra & Angélica González

Authors
  1. Pablo Chamoso
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  2. William Raveane
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  3. Victor Parra
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  4. Angélica González
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Corresponding author

Correspondence to Pablo Chamoso .

Editor information

Editors and Affiliations

  1. Polytechnic of Porto, Porto, Portugal

    Carlos Ramos

  2. CCTC/Informatics Department, University of Minho, Braga, Portugal

    Paulo Novais

  3. Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud, Yverdon-les-Bains, Switzerland

    Céline Ehrwein Nihan

  4. Department of Computing Science and Control, University of Salamanca, Salamanca, Spain

    Juan M. Corchado Rodríguez

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Chamoso, P., Raveane, W., Parra, V., González, A. (2014). UAVs Applied to the Counting and Monitoring of Animals. In: Ramos, C., Novais, P., Nihan, C., Corchado Rodríguez, J. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-07596-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-07596-9_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07595-2

  • Online ISBN: 978-3-319-07596-9

  • eBook Packages: EngineeringEngineering (R0)

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