Behavioral tracking gets real
- PMID: 30127429
- PMCID: PMC9339263
- DOI: 10.1038/s41593-018-0215-0
Behavioral tracking gets real
Abstract
A deep-learning-based software package called DeepLabCut rapidly and easily enables video-based motion tracking in any animal species. Such tracking technology is bound to revolutionize movement science and behavioral tracking in the laboratory and is also poised to find many applications in the real world.
Conflict of interest statement
Competing interests
The authors declare no competing financial interests.
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Comment on
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DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.Nat Neurosci. 2018 Sep;21(9):1281-1289. doi: 10.1038/s41593-018-0209-y. Epub 2018 Aug 20. Nat Neurosci. 2018. PMID: 30127430
References
-
- Stringer C et al. Preprint at bioRxiv 10.1101/306019 (2018). - DOI
-
- Muybridge E Animal Locomotion: An Electro-photographic Investigation of Consecutive Phases of Animal Movements 1872–1885 (Univ. of Pennsylvania, Philadelphia, 1887).
-
- Marey E-J Le mouvement (G. Masson, Paris, 1894).
-
- Johansson G Sci. Am 232, 76–88 (1975). - PubMed
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