Anipose: A toolkit for robust markerless 3D pose estimation.
Anipose: A toolkit for robust markerless 3D pose estimation.
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DOI:
10.1016/j.celrep.2021.109730
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发表时间:
2021-09-28
期刊:
影响因子:
8.8
通讯作者:
Tuthill JC
中科院分区:
文献类型:
--
作者:
Karashchuk P;Rupp KL;Dickinson ES;Walling-Bell S;Sanders E;Azim E;Brunton BW;Tuthill JC
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 Deep-LabCut, 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/. Karashchuk et al. introduce Anipose, a Python toolkit that enables researchers to track animal poses in 3D. Anipose performs 3D calibration, filters tracked keypoints, and visualizes resulting pose data. This open-source software and accompanying tutorials facilitate the analysis of 3D animal behavior and the biology that underlies it.
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