A deep learning framework for multi-animal pose tracking.
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Jun 13, 2025 - Python
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A deep learning framework for multi-animal pose tracking.
An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating 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.
R functions to dead-reckon reckon animal movement from raw motion sensor data
LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing
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 to access data from the European Tracking Network
R package for basic data processing for spatial animal tracking data
Tools for pre-processing high-throughput animal tracking data.
Surface water mapping using Sentinel-1 and Google Earth Engine
R package for working with Wildlife Computers data formats. Maintained by Josh London (@jmlondon / josh.london@noaa.gov)
PoseModel: An Open-Source Toolkit for Accurate and Robust Automated Behavioral Latent Embedding
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