Multi-Anipose is an open-source toolkit for robust, markerless 3D pose estimation of multi-animal behavior from multiple camera views. It leverages the machine learning toolbox DeepLabCut to track keypoints in 2D, then triangulates across camera views to estimate 3D pose.
Multi-Anipose is a 3D pose estimation toolkit for multiple animals built on top of Anipose.
Here are some references for DeepLabCut and other things this project relies upon:
- Mathis et al, 2018, "DeepLabCut: markerless pose estimation of user-defined body parts with deep learning"
- Romero-Ramirez et al, 2018, "Speeded up detection of squared fiducial markers"