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A Review of Animal Individual Recognition Based on Computer Vision

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Data Science (ICPCSEE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1628))

Abstract

With the improvement of modernization, China’s animal husbandry and fishery enterprise has ushered in a new vogue of informationization, factorization, and precision farming, and the demand for unique identification of individual animals is growing. Traditional individual animal identification methods, such as footprint identification, molecular biology, and different techniques, have low accuracy, excessive cost, and different risks. RFID technological know-how and implants put on monitoring units and different techniques additionally face invasiveinvasiveness, excessive labor costs, slender application scopes and challenges in promoting a massive place and different issues. Deep learning is enjoying an increasing number of essential positions in the discipline of animal individual identification, which has made it possible for the noninvasive recognition of individual animals. This paper discusses the progress of individual animal recognition using computer vision techniques and its application popularity in different species fields, focuses on the issues and challenges of individual animal recognition, and suggests that future lookup instructions for animal identification are foreseen.

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Acknowledgments

The National Natural Science Foundation of China (31972846) funded this research, Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University) Ministry of Education (202205), Major Special Plan for Science and Technology in Liaoning Province (2020JH1/10200002).

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Authors and Affiliations

  1. School of Information Engineering, Dalian Ocean University, Dalian, 116023, China

    Weifang Wang, Junfeng Wu, Hong Yu, Huanjun Zhang & Yuxuan Zhang

  2. Key Laboratory of Environment Controlled Aquaculture, (Dalian Ocean University) Ministry of Education, Dalian, 116023, China

    Weifang Wang, Junfeng Wu, Hong Yu, Yizhi Zhou & Yuxuan Zhang

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  1. Weifang Wang
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  3. Hong Yu
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  4. Huanjun Zhang
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Correspondence to Junfeng Wu .

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Editors and Affiliations

  1. Southwest Petroleum University, Chengdu, China

    Yang Wang

  2. University of Electronic Science and Technology of China, Chengdu, China

    Guobin Zhu

  3. Harbin Engineering University, Harbin, China

    Qilong Han

  4. Harbin Institute of Technology, Harbin, China

    Hongzhi Wang

  5. Harbin University of Science and Technology, Harbin, China

    **anhua Song

  6. National Academy of Guo Ding Institute of Data Sciences, Bei**g, China

    Zeguang Lu

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Wang, W., Wu, J., Yu, H., Zhang, H., Zhou, Y., Zhang, Y. (2022). A Review of Animal Individual Recognition Based on Computer Vision. In: Wang, Y., Zhu, G., Han, Q., Wang, H., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1628. Springer, Singapore. https://doi.org/10.1007/978-981-19-5194-7_22

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