ReviewIntegrative and comparative biology2021
Perspectives on Individual Animal Identification from Biology and Computer Vision.
Review in Integrative and comparative biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Article
- HST-former: hierarchical spatio-temporal aggregation for video-based animal re-identification.Scientific reports · 2026Article
- TMacaque-FaceNet: Automatic Facial Recognition Based on Vision Transformer for Wild Tibetan Macaques.Animals : an open access journal from MDPI · 2026Article
- Joint modelling of brain and behaviour dynamics with artificial intelligence.Nature reviews. Neuroscience · 2026Review
- An efficient and consistent framework for multi-rank taxonomic identification in wildlife images.Scientific reports · 2026Article
- From Visual to Multimodal: Systematic Ablation of Encoders and Fusion Strategies in Animal Identification.Journal of imaging · 2026Article
- Article
- Structure-Aware Multi-Animal Pose Estimation for Space Model Organism Behavior Analysis.Animals : an open access journal from MDPI · 2025Article
- Advancements in Individual Animal Identification: A Historical Perspective from Prehistoric Times to the Present.Animals : an open access journal from MDPI · 2025Review
- YOLOv10n-CF-Lite: A Method for Individual Face Recognition of Hu Sheep Based on Automated Annotation and Transfer Learning.Animals : an open access journal from MDPI · 2025Article
- Computer vision for primate behavior analysis in the wild.Nature methods · 2025Review
- Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.eLife · 2025Article
- Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification.Animals : an open access journal from MDPI · 2024Article
- Evaluating enrichment use in group-housed rhesus macaques (Animal welfare (South Mimms, England) · 2024Article
- Drone Observation for the Quantitative Study of Complex Multilevel Societies.Animals : an open access journal from MDPI · 2023Review
- Day and night camera trap videos are effective for identifying individual wild Asian elephants.PeerJ · 2023Article
- Individually unique, fixed stripe configurations of Octopus chierchiae allow for photoidentification in long-term studies.PloS one · 2023Article
- Deep-learning based identification, tracking, pose estimation, and behavior classification of interacting primates and mice in complex environments.Nature machine intelligence · 2022Article
- Multi-animal pose estimation, identification and tracking with DeepLabCut.Nature methods · 2022Article
- Perspectives in machine learning for wildlife conservation.Nature communications · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Identifying individual animals is crucial for many biological investigations. In response to some of the limitations of current identification methods, new automated computer vision approaches have emerged with strong performance. Here, we review current advances of computer vision identification techniques to provide both computer scientists and biologists with an overview of the available tools and discuss their applications. We conclude by offering recommendations for starting an animal identification project, illustrate current limitations, and propose how they might be addressed in the future.
Indexed as
Identifiers
What OpenQuestion holds
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.