Face recognition of a Lorisidae species based on computer vision

Yan Guan; Yujie Lei; Yuhui Zhu; Tingxuan Li; Ying Xiang; Pengmei Dong; Rong Jiang; Jinwen Luo; Anqi Huang; Yumai Fan; Ping Teng; Yan Zhang; Changjun Zeng; Meng Xie; Jiong Mu; Qingyong Ni

Global Ecology and Conservation (Sep 2023)

Face recognition of a Lorisidae species based on computer vision

Yan Guan,
Yujie Lei,
Yuhui Zhu,
Tingxuan Li,
Ying Xiang,
Pengmei Dong,
Rong Jiang,
Jinwen Luo,
Anqi Huang,
Yumai Fan,
Ping Teng,
Yan Zhang,
Changjun Zeng,
Meng Xie,
Jiong Mu,
Qingyong Ni

Affiliations

Yan Guan: Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; College of Information Engineering, Sichuan Agricultural University, Ya’an 625014, China; Sichuan Key Laboratory of Agricultural Information Engineering, Sichuan Agricultural University, Ya’an 625014, China
Yujie Lei: College of Information Engineering, Sichuan Agricultural University, Ya’an 625014, China; Sichuan Key Laboratory of Agricultural Information Engineering, Sichuan Agricultural University, Ya’an 625014, China
Yuhui Zhu: College of Information Engineering, Sichuan Agricultural University, Ya’an 625014, China
Tingxuan Li: College of Information Engineering, Sichuan Agricultural University, Ya’an 625014, China
Ying Xiang: College of Information Engineering, Sichuan Agricultural University, Ya’an 625014, China; Sichuan Key Laboratory of Agricultural Information Engineering, Sichuan Agricultural University, Ya’an 625014, China
Pengmei Dong: Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
Rong Jiang: Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
Jinwen Luo: College of Information Engineering, Sichuan Agricultural University, Ya’an 625014, China
Anqi Huang: College of Life Science, Sichuan Agricultural University, Ya’an 625014, China
Yumai Fan: Dehong Wildlife Rescue Center, Forestry Bureau of Dehong Prefecture, Mangshi 678499, China
Ping Teng: Dehong Wildlife Rescue Center, Forestry Bureau of Dehong Prefecture, Mangshi 678499, China
Yan Zhang: Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
Changjun Zeng: Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
Meng Xie: College of Life Science, Sichuan Agricultural University, Ya’an 625014, China
Jiong Mu: College of Information Engineering, Sichuan Agricultural University, Ya’an 625014, China; Sichuan Key Laboratory of Agricultural Information Engineering, Sichuan Agricultural University, Ya’an 625014, China; Corresponding author at: College of Information Engineering, Sichuan Agricultural University, Ya’an 625014, China.
Qingyong Ni: Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; Corresponding author at: Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.

Journal volume & issue: Vol. 45
p. e02511

Abstract

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The slow loris is a group of endangered small arboreal primates. In recent decades, illegal hunting and habitat degradation have led to a sharp decline in wild populations. The individuals are challenging to be identified both in captive and natural environments due to their cryptic nocturnal behavior. Computer vision has emerged as a new approach to face recognition for domestic and wild animals. We used a YOLOv5 +U-Net+VGG framework to realize the face identification of Bengal slow lorises (Nycticebus bengalensis) based on 1480 images of 30 individuals housed in Dehong Wildlife Rescue Center, China. This is the first human-annotated face image dataset of Lorisidae primates. The accuracy rate of this deep learning model set for face recognition reached 96.27 %. The results indicated that computer vision and deep learning technology could be used in individual identification of slow lorises, contributing to further study and conservation of this endangered taxa.

Published in Global Ecology and Conservation

ISSN: 2351-9894 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Biology (General): Ecology
Website: http://www.journals.elsevier.com/global-ecology-and-conservation/

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