Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality. In the past years powerful tools specifically designed to aid the measurement of behavior have come to fruition. Here we discuss how capturing the postures of animals - pose estimation - has been rapidly advancing with new deep learning methods. While challenges still remain, we envision that the fast-paced development of new deep learning tools will rapidly change the landscape of realizable real-world neuroscience.
@article{arxiv.1909.13868,
title = {Deep learning tools for the measurement of animal behavior in neuroscience},
author = {Mackenzie W. Mathis and Alexander Mathis},
journal= {arXiv preprint arXiv:1909.13868},
year = {2020}
}