idtracker.ai: tracking all individuals in small or large collectives of unmarked animals.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 30643215.
- Also identified by DOI 10.1038/s41592-018-0295-5.
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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.
Medical subject headings
- Behavior, Animal
- Image Processing, Computer-Assisted
- Software
- Video Recording