doi: 10.1038/s41592-018-0295-5.
Epub 2019 Jan 14.
idtracker.ai: tracking all individuals in small or large collectives of unmarked animals
Affiliations
- PMID: 30643215
- DOI: 10.1038/s41592-018-0295-5
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idtracker.ai: tracking all individuals in small or large collectives of unmarked animals
Nat Methods.
2019 Feb.
Abstract
Understanding of animal collectives is limited by the ability to track each individual. We describe an algorithm and software that extract all trajectories from video, with high identification accuracy for collectives of up to 100 individuals. idtracker.ai uses two convolutional networks: one that detects when animals touch or cross and another for animal identification. The tool is trained with a protocol that adapts to video conditions and tracking difficulty.
Comment in
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Gonzalo G. de Polavieja.Nat Methods. 2019 Feb;16(2):137. doi: 10.1038/s41592-018-0306-6. Nat Methods. 2019. PMID: 30643214 No abstract available.
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