Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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Applications of Computer Image Recognition Technologies for Animal Behavior Analysis

Authors
Bowen Shen1, Kexuan Wu2, Yangxuan Xue3, *
1Tianjin No. 43 Middle School, Tianjin, 300110, China
2The Affiliated High School to Hangzhou Normal University, Zhejiang, 310030, China
3Computer Science and Technology, Minjiang University, Fujian, 350108, China
*Corresponding author. Email: xy232220@students.euc.ac.cy
Corresponding Author
Yangxuan Xue
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_31How to use a DOI?
Keywords
Animal Behavior Analysis; Image Recognition; Convolutional Neural Network
Abstract

Animal behavior analysis is crucial for understanding the mechanisms of survival, adaptation, and evolution in species. It provides insights into animal cognition, social structures, and ecological roles. In this thesis, the authors discuss the application of computer image recognition technology in animal behavior analysis. Firstly, this work summarizes the basic principles and development of image recognition technology, and then introduces the specific applications of this technology in animal behavior monitoring, including animal species recognition, behavior pattern analysis and abnormal behavior detection. This work also delves into the application of various algorithms and models such as Convolutional Neural Network (CNN) in object detection and image classification. Through real case studies and experimental data, this work demonstrates the great potential of image recognition technology in improving the efficiency, safety and accuracy of animal behavior research. Finally, this work discusses current technological challenges and future directions, emphasizing the importance of interdisciplinary collaboration and the far-reaching impact of technological advances on ecological conservation and animal detection.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_31How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bowen Shen
AU  - Kexuan Wu
AU  - Yangxuan Xue
PY  - 2024
DA  - 2024/09/23
TI  - Applications of Computer Image Recognition Technologies for Animal Behavior Analysis
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 276
EP  - 284
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_31
DO  - 10.2991/978-94-6463-512-6_31
ID  - Shen2024
ER  -