Deep-learning based identification, tracking, pose estimation, and behavior classification of interacting primates and mice in complex environments
Markus Marks, Jin Qiuhan, Oliver Sturman, Lukas von Ziegler, Sepp Kollmorgen, Wolfger von der Behrens, Valerio Mante, Johannes Bohacek, Mehmet Fatih Yanik
This paper introduces a deep learning pipeline for tracking and classifying behaviors of interacting primates and mice in complex environments using video data.
bioRxiv · Oct 26, 2020 · PreprintNeuroscience