A deep learning framework for multi-animal pose tracking.
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Updated
Jul 29, 2025 - 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
🛰🐦 Bird tracking - GPS tracking network for large birds
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing
R functions to dead-reckon reckon animal movement from raw motion sensor data
R package to access data from the European Tracking Network
An application designed to help researchers plan animal tracking projects tailored to their specific research questions.
Hybrid behavioral tracking combining deep learning-based tracking and fiducial tags
Acoustic telemetry data 🔊🐟
R package for basic data processing for spatial animal tracking data
Surface water mapping using Sentinel-1 and Google Earth Engine
PoseModel: An Open-Source Toolkit for Accurate and Robust Automated Behavioral Latent Embedding
Tools for pre-processing high-throughput animal tracking data.
R package for working with Wildlife Computers data formats. Maintained by Josh London (@jmlondon / josh.london@noaa.gov)
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