ArticleEcology and evolution2020
Automated facial recognition for wildlife that lack unique markings: A deep learning approach for brown bears.
Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Analyzing the enhancement of CNN-YOLO and transformer based architectures for real-time animal detection in complex ecological environments.Scientific reports · 2025Pooled it
- From pixels to conservation: Deep learning for automated monitoring of rare and endangered wildlife.iScience · 2026Article
- Facial Recognition Analyses Reveal Social Networks of Co-Occurrence at Harbor Seal Haul-Out Sites.Ecology and evolution · 2026Article
- TMacaque-FaceNet: Automatic Facial Recognition Based on Vision Transformer for Wild Tibetan Macaques.Animals : an open access journal from MDPI · 2026Article
- CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx.Scientific data · 2026Article
- Deep learning based individual identification and population estimation of the yellow spotted mountain newt (Neurergus derjugini).Scientific reports · 2026Article
- From Visual to Multimodal: Systematic Ablation of Encoders and Fusion Strategies in Animal Identification.Journal of imaging · 2026Article
- Integrating spatial and behavioral data provides comprehensive assessment of grizzly bear-ecotourism coexistence in Nuxalk Territory.Scientific reports · 2025Article
- Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification.Animals : an open access journal from MDPI · 2024Article
- The analysis of ecological security and tourist satisfaction of ice-and-snow tourism under deep learning and the Internet of Things.Scientific reports · 2024Article
- Improved Re-Parameterized Convolution for Wildlife Detection in Neighboring Regions of Southwest China.Animals : an open access journal from MDPI · 2024Article
- Individual recognition of Eurasian beavers (Ecology and evolution · 2024Article
- Testing novel facial recognition technology to identify dogs during vaccination campaigns.Scientific reports · 2023Article
- Elephants and algorithms: a review of the current and future role of AI in elephant monitoring.Journal of the Royal Society, Interface · 2023Review
- Identification of hybrids between the Japanese giant salamander (Ecology and evolution · 2023Article
- Multi-Cat Monitoring System Based on Concept Drift Adaptive Machine Learning Architecture.Sensors (Basel, Switzerland) · 2023Article
- Individual identification of endangered amphibians using deep learning and smartphone images: case study of the Japanese giant salamander (Andrias japonicus).Scientific reports · 2023Article
- An overview of remote monitoring methods in biodiversity conservation.Environmental science and pollution research international · 2022Review
- Livestock Identification Using Deep Learning for Traceability.Sensors (Basel, Switzerland) · 2022Article
- SEALNET: Facial recognition software for ecological studies of harbor seals.Ecology and evolution · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging technologies support a new era of applied wildlife research, generating data on scales from individuals to populations. Computer vision methods can process large datasets generated through image-based techniques by automating the detection and identification of species and individuals. With the exception of primates, however, there are no objective visual methods of individual identification for species that lack unique and consistent body markings. We apply deep learning approaches of facial recognition using object detection, landmark detection, a similarity comparison network, and an support vector machine-based classifier to identify individuals in a representative species, the brown bear
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.