ArticleNature machine intelligence2022
Deep-learning based identification, tracking, pose estimation, and behavior classification of interacting primates and mice in complex environments.
Article in Nature machine intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
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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.
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Who cites it
51 citing papers in PubMed.
- A Smart-Alarm Detection and Deterrent System for Long-Tailed Macaque Intrusion in Human Residential Zones.Journal of medical primatology · 2026Article
- Enhancing wildlife monitoring with computer vision: A dataset for automated detection of barbary macaques.Data in brief · 2026Article
- Using Machine Learning to Automate the Analysis of an Olfactory Habituation-Dishabituation Task in Mice.Brain and behavior · 2026Article
- Unsupervised transfer learning enables multi-animal tracking without training annotation.Nature methods · 2026Article
- Primate neuroethology: a new synthesis.Trends in cognitive sciences · 2026Review
- Understanding the Brain as a Mentalizing Machine with a Symbol Grounding Function.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- Article
- Synthetic X‑ray‑driven tracking and control of miniature medical devices.Nature machine intelligence · 2026Article
- A simple method for rapid reconstruction of 3D animal trajectory from monocular video.Movement ecology · 2025Article
- Structure-Aware Multi-Animal Pose Estimation for Space Model Organism Behavior Analysis.Animals : an open access journal from MDPI · 2025Article
- Identifying Small-Displacement Stereotypical Behavior of Captive Slow Lorises Based on AnimalYOLO-Bytetrack Network.Ecology and evolution · 2025Article
- Three-dimensional markerless motion capture of multiple freely behaving monkeys toward automated characterization of social behavior.Science advances · 2025Article
- Computer vision for primate behavior analysis in the wild.Nature methods · 2025Review
- The Search for Love in Human Evolution: Primate Social Bonds and a New Science of Emotion.American journal of biological anthropology · 2025Review
- Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station.Scientific data · 2025Article
- Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.eLife · 2025Article
- The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques.Scientific reports · 2025Article
- InteBOMB: Integrating generic object tracking and segmentation with pose estimation for animal behavior analysis.Zoological research · 2025Article
- An intelligent humidity sensing system for human behavior recognition.Microsystems & nanoengineering · 2025Article
- From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehave.International journal of computer vision · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The quantification of behaviors of interest from video data is commonly used to study brain function, the effects of pharmacological interventions, and genetic alterations. Existing approaches lack the capability to analyze the behavior of groups of animals in complex environments. We present a novel deep learning architecture for classifying individual and social animal behavior, even in complex environments directly from raw video frames, while requiring no intervention after initial human supervision. Our behavioral classifier is embedded in a pipeline (SIPEC) that performs segmentation, identification, pose-estimation, and classification of complex behavior, outperforming the state of the art. SIPEC successfully recognizes multiple behaviors of freely moving individual mice as well as socially interacting non-human primates in 3D, using data only from simple mono-vision cameras in home-cage setups.
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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.