ArticleScience advances2019
Chimpanzee face recognition from videos in the wild using deep learning.
Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed, 224 citations in OpenAlex.
- From pixels to conservation: Deep learning for automated monitoring of rare and endangered wildlife.iScience · 2026Article
- CapuchinAI 1.0: Development of a Machine Learning-Based Touchscreen Paradigm to Test Cognition in Wild Capuchins.American journal of primatology · 2026Article
- TMacaque-FaceNet: Automatic Facial Recognition Based on Vision Transformer for Wild Tibetan Macaques.Animals : an open access journal from MDPI · 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
- Article
- CapuchinAI 1.0: Development of a machine learning-based touchscreen paradigm to test cognition in wild capuchins.bioRxiv : the preprint server for biology · 2025Article
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- Three-dimensional markerless motion capture of multiple freely behaving monkeys toward automated characterization of social behavior.Science advances · 2025Article
- A Deep Learning-Based Model Approach for Quantitative Analysis of Cell Chemotaxis in a Microfluidic Chip.Sensors (Basel, Switzerland) · 2025Article
- Computer vision for primate behavior analysis in the wild.Nature methods · 2025Review
- The growing methodological toolkit for identifying and studying social learning and culture in non-human animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- A deep learning lightweight model for real-time captive macaque facial recognition based on an improved YOLOX model.Zoological research · 2025Article
- Quantifying Facial Gestures Using Deep Learning in a New World Monkey.American journal of primatology · 2025Article
- Research trends in livestock facial identification: a review.Journal of animal science and technology · 2025Review
- Deep learning for automatic facial detection and recognition in Japanese macaques: illuminating social networks.Primates; journal of primatology · 2024Article
- Fine-grained image classification on bats using VGG16-CBAM: a practical example with 7 horseshoe bats taxa (CHIROPTERA: Rhinolophidae: Rhinolophus) from Southern China.Frontiers in zoology · 2024Article
- GesturalOrigins: A bottom-up framework for establishing systematic gesture data across ape species.Behavior research methods · 2024Article
- Individual recognition of Eurasian beavers (Ecology and evolution · 2024Article
- Evolution of laughter from play.Communicative & integrative biology · 2024Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Video recording is now ubiquitous in the study of animal behavior, but its analysis on a large scale is prohibited by the time and resources needed to manually process large volumes of data. We present a deep convolutional neural network (CNN) approach that provides a fully automated pipeline for face detection, tracking, and recognition of wild chimpanzees from long-term video records. In a 14-year dataset yielding 10 million face images from 23 individuals over 50 hours of footage, we obtained an overall accuracy of 92.5% for identity recognition and 96.2% for sex recognition. Using the identified faces, we generated co-occurrence matrices to trace changes in the social network structure of an aging population. The tools we developed enable easy processing and annotation of video datasets, including those from other species. Such automated analysis unveils the future potential of large-scale longitudinal video archives to address fundamental questions in behavior and conservation.
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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.