idtracker.ai: Tracking all individuals in large collectives of unmarked animals

Our understanding of collective animal behavior is limited by our ability to track each of the individuals. We describe an algorithm and software, idtracker.ai, that extracts from video all trajectories with correct identities at a high accuracy for collectives of up to 100 individuals. It uses two...

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Bibliographic Details
Published in:arXiv.org 2018-03
Main Authors: Romero-Ferrero, Francisco, Bergomi, Mattia G, Hinz, Robert, Heras, Francisco J H, de Polavieja, Gonzalo G
Format: Article
Language:English
Subjects:
Algorithms
Animal behavior
Animals
Tracking
Online Access:Get full text
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Summary:Our understanding of collective animal behavior is limited by our ability to track each of the individuals. We describe an algorithm and software, idtracker.ai, that extracts from video all trajectories with correct identities at a high accuracy for collectives of up to 100 individuals. It uses two deep networks, one detecting when animals touch or cross and another one for animal identification, trained adaptively to conditions and difficulty of the video.
ISSN:2331-8422