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Framework for Intelligent Wildlife Monitoring

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Intelligent Decision Technologies (IDT 2020)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 193))

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Abstract

In this research, we suggest a framework for the detail wildlife monitoring based on video surveillance. Camera traps are located on the remote territories of natural parks in the habitats of wild animals and birds. In spite of the dominant connectivity and sensing technology for wildlife monitoring are based on the wireless sensor networks, such technology cannot be applied in some cases due to vast impassable territories, especially in Siberian part of Russia. Based on our previous investigations in this research topic, we propose the main approaches and methods for big data collection, processing, and analysis useful for the management of natural parks and any wildlife habitat.

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Acknowledgements

The reported study was funded by Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Regional Fund of Science, to the research project No 18-47-240001.

Author information

Authors and Affiliations

  1. Institute of Computational Modeling, Siberian Branch of the RAS, 50, Academgorodok, Krasnoyarsk, 660036, Russian Federation

    Valery Nicheporchuk & Margarita N. Favorskaya

  2. Ergaki Natural Park, 42, Rossiiskauya, Ermakovskoye, Krasnoyarsky kray, 662821, Russian Federation

    Igor Gryazin

  3. Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave, Krasnoyarsk, 660037, Russian Federation

    Valery Nicheporchuk, Igor Gryazin & Margarita N. Favorskaya

Authors
  1. Valery Nicheporchuk
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  2. Igor Gryazin
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  3. Margarita N. Favorskaya
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Corresponding author

Correspondence to Valery Nicheporchuk .

Editor information

Editors and Affiliations

  1. Gdynia Maritime University, Gdynia, Poland

    Ireneusz Czarnowski

  2. KES International Research, UK

    Robert J. Howlett

  3. Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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Nicheporchuk, V., Gryazin, I., Favorskaya, M.N. (2020). Framework for Intelligent Wildlife Monitoring. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. IDT 2020. Smart Innovation, Systems and Technologies, vol 193. Springer, Singapore. https://doi.org/10.1007/978-981-15-5925-9_14

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