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Nat Methods. 2019 Feb;16(2):179-182. doi: 10.1038/s41592-018-0295-5. Epub 2019 Jan 14.

idtracker.ai: tracking all individuals in small or large collectives of unmarked animals.

Author information

1
Champalimaud Research, Champalimaud Center for the Unknown, Lisbon, Portugal.
2
Champalimaud Research, Champalimaud Center for the Unknown, Lisbon, Portugal. gonzalo.polavieja@neuro.fchampalimaud.org.

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.

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PMID:
30643215
DOI:
10.1038/s41592-018-0295-5
[Indexed for MEDLINE]

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