ArticleCell reports2021
Anipose: A toolkit for robust markerless 3D pose estimation.
Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 3 of them syntheses that pooled it.
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Who cites it
141 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Systematic review of artificial intelligence use in behavioral analysis of invertebrate and larval model organisms: methods, applications and future recommendations.Frontiers in artificial intelligence · 2026Pooled it
- Does advancement in marker-less pose-estimation mean more quality research? A systematic review.Frontiers in behavioral neuroscience · 2025Pooled it
- The evolutionary trajectory of drosophilid walking.Current biology : CB · 2022Pooled it
- Sticking the landing: leg mechanosensory feedback coordinates the transition from flight to landing.bioRxiv : the preprint server for biology · 2026Article
- Article
- Occlusion-Robust Cattle Pose Estimation for Precision Livestock Monitoring Using Hierarchical Locality Refinement.Animals : an open access journal from MDPI · 2026Article
- DeepFaceMouse enables scalable prediction of large-scale brain activity from facial dynamics in mice.Cell reports methods · 2026Article
- IMU- and Vision-Based Measurement Techniques for Joint Kinematics: A Narrative Review.Sensors (Basel, Switzerland) · 2026Review
- Inverse Dynamics Meets Markerless Motion Capture during Standing: Concurrent Validation of Center of Mass and Center of Pressure Estimations.Annals of biomedical engineering · 2026Article
- Canonical decision computations underlie behavioral and neural signatures of cooperation in primates.Neuron · 2026Article
- Continuous foraging behavior shapes patch-leaving decisions in pigeons: a 3D tracking study.Animal cognition · 2026Article
- Topological data analysis captures complex behavioral dynamics during naturalistic social interaction between domestic ferrets.bioRxiv : the preprint server for biology · 2026Article
- Realistic monkey body animation reveals an uncanny valley in macaque body perception.PLoS biology · 2026Article
- Toward video-LLM driven workflow for behavioral segmentation and scoring in mice performing a skilled water-reaching task: an evaluation of recent LLM models.Neurophotonics · 2026Article
- Beast3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting.ArXiv · 2026Article
- Article
- Cheese3D enables sensitive detection and analysis of whole-face movement in mice.Nature neuroscience · 2026Article
- A modular multi-color fluorescence microscope for simultaneous tracking of cellular activity and behavior.Nature communications · 2026Article
- Article
- Whole-body 3D kinematics of freely behavingbioRxiv : the preprint server for biology · 2026Article
81 more citing papers are in PubMed but not listed here.
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8 authors.
Funding
Abstract
Quantifying movement is critical for understanding animal behavior. Advances in computer vision now enable markerless tracking from 2D video, but most animals move in 3D. Here, we introduce Anipose, an open-source toolkit for robust markerless 3D pose estimation. Anipose is built on the 2D tracking method DeepLabCut, so users can expand their existing experimental setups to obtain accurate 3D tracking. It consists of four components: (1) a 3D calibration module, (2) filters to resolve 2D tracking errors, (3) a triangulation module that integrates temporal and spatial regularization, and (4) a pipeline to structure processing of large numbers of videos. We evaluate Anipose on a calibration board as well as mice, flies, and humans. By analyzing 3D leg kinematics tracked with Anipose, we identify a key role for joint rotation in motor control of fly walking. To help users get started with 3D tracking, we provide tutorials and documentation at http://anipose.org/.
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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.