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Towards Elephants Intelligent Monitoring in Zakouma National Park, Chad

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Image Processing, Computer Vision, and Pattern Recognition and Information and Knowledge Engineering (CSCE 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2262))

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Abstract

This paper proposes an approach based on artificial intelligence to open up new prospects for the protection of endangered species in Zakouma National Park, Chad. This paper analyzes a few major algorithm models used in the detection or segmentation process to determine their accuracy when applied to wildlife. An assessment and a benchmarking were carried out on detection and segmentation algorithms such as Faster R-CNN, Mask R-CNN, YOLO V7, YOLO V8, and YOLO NAS. The process of tracking wild animals is handled by the ByteTrack library. A unique ID is assigned to each animal, enabling it to be identified individually after the detection and recognition process. The counting approach derives from the individual animal identification mechanism: when an animal, recognized by YOLO 8, is first detected during the counting process, then the species-specific counter, initialized at 0, is incremented by one unit. The YOLO 8 algorithm yields the most reliable precision rates, and is therefore chosen for animal detection and identification.

H. D. Oumar, Y. Azza, N. Alladoumbaye—Contributing authors.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Virtual University of Chad, N’Djamena, Chad

    Hassan Djibrine Oumar & Youssouf Azza

  2. Department of Computer Science, University of N’Djamena, N’Djamena, Chad

    Ahmat Daouda

  3. Department of Computer Science, Shenzhen University, Shenzhen, China

    Ngueilbaye Alladoumbaye

Authors
  1. Hassan Djibrine Oumar
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  2. Ahmat Daouda
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  3. Youssouf Azza
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  4. Ngueilbaye Alladoumbaye
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Corresponding author

Correspondence to Ahmat Daouda .

Editor information

Editors and Affiliations

  1. Wentworth Institute of Technology, Boston, MA, USA

    Leonidas Deligiannidis

  2. Mayo Clinic, Athens, GA, USA

    Farid Ghareh Mohammadi

  3. Medialab Inc., Lawrenceville, GA, USA

    Farzan Shenavarmasouleh

  4. Pace University, Athens, GA, USA

    Soheyla Amirian

  5. University of Georgia, Athens, GA, USA

    Hamid R. Arabnia

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Oumar, H.D., Daouda, A., Azza, Y., Alladoumbaye, N. (2025). Towards Elephants Intelligent Monitoring in Zakouma National Park, Chad. In: Deligiannidis, L., Ghareh Mohammadi, F., Shenavarmasouleh, F., Amirian, S., Arabnia, H.R. (eds) Image Processing, Computer Vision, and Pattern Recognition and Information and Knowledge Engineering. CSCE 2024. Communications in Computer and Information Science, vol 2262. Springer, Cham. https://doi.org/10.1007/978-3-031-85933-5_7

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  • DOI: https://doi.org/10.1007/978-3-031-85933-5_7

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