A deep learning framework for multi-animal pose tracking.
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Updated
Oct 20, 2026 - Python
A deep learning framework for multi-animal pose tracking.
An R package for visualizing movement data (e.g. from GPS tracking) and synchronous environmental data (e.g. from remote sensing) as video animations.
A Low-cost Open-source High-speed Multi-camera Motion Capture System.
CIAtah (pronounced cheetah): a software package for calcium imaging analysis of one- and two-photon imaging datasets. Documentation: https://git.io/ciatah_docs. Formerly known as calciumImagingAnalysis (ciapkg).
fit latent variable movement models to animal tracking data
trackR - A simple video tracking software for R
Annotation-free multi-animal direction estimation using self-supervised learning
🛰🐦 Bird tracking - GPS tracking and colour-ringing data
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
An application designed to help researchers and managers plan animal tracking projects tailored to their specific research questions.
R package to access data from the European Tracking Network (ETN)
R functions to dead-reckon reckon animal movement from raw motion sensor data
Hybrid behavioral tracking combining deep learning-based tracking and fiducial tags
LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing
R package for basic data processing for spatial animal tracking data
Acoustic telemetry data 🔊🐟
R package for working with Wildlife Computers data formats. Maintained by Josh London (@jmlondon / josh.london@noaa.gov)
Surface water mapping using Sentinel-1 and Google Earth Engine
PoseModel: Self-Supervised Spatiotemporal Graph Representation Learning for Pose-Based Behavior
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