A new approach tracks animal movements in 3D from multiple camera views using volumetric triangulation, reconciling occlusions and ambiguities present in any one camera view.
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Dunn, T.W. et al. Nat. Methods https://doi.org/10.1038/s41592-021-01106-6 (2021).
Iskakov, K., Burkov, E., Lempitsky, V. & Malkov, Y. Learnable triangulation of human pose. In Proc. IEEE/CVF Int. Conf. Computer Vision 7718–7727 (2019).
Mathis, A. et al. Nat. Neurosci. 21, 1281–1289 (2018).
Pereira, T. D. et al. Nat. Methods 16, 117–125 (2019).
Graving, J. M. et al. eLife 8, e47994 (2019).
Zimmermann, C., Schneider, A., Alyahyay, M., Brox, T.S. & Diester, I. Preprint at bioRxiv https://doi.org/10.1101/2020.02.27.967620 (2020).
Nath, T. et al. Nat. Protoc. 14, 2152–2176 (2019).
Günel, S. et al. eLife 8, e48571 (2019).
Karashchuk, P. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.05.26.117325 (2020).
Bala, P. C. et al. Nat. Commun. 11, 1–12 (2020).
Pereira, T. D. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.08.31.276246 (2020).
Chen, Z. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.12.04.405159 (2020).
Gosztolai, A. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.09.18.292680 (2020).
Mehta, D. et al. ACM Trans. Graph. 36, 1–14 (2017).
The authors declare no competing interests.
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Karashchuk, P., Tuthill, J.C. & Brunton, B.W. The DANNCE of the rats: a new toolkit for 3D tracking of animal behavior. Nat Methods 18, 460–462 (2021). https://doi.org/10.1038/s41592-021-01110-w