High-resolution, non-invasive animal tracking and reconstruction of local environment in aquatic ecosystems

High-resolution, non-invasive animal tracking and reconstruction of local environment in aquatic ecosystems

Abstract Background Acquiring high resolution quantitative behavioural data underwater often involves installation of costly infrastructure, or capture and manipulation of animals. Aquatic movement ecology can therefore be limited in taxonomic range and ecological coverage. Methods Here we present a...

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Bibliographic Details
Main Authors: Fritz A Francisco, Paul Nührenberg, Alex Jordan
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Movement Ecology
Subjects:
3D tracking
Collective behaviour
Aquatic ecosystems
Computer vision
Structure from motion
Machine learning
Online Access:http://link.springer.com/article/10.1186/s40462-020-00214-w

Internet

http://link.springer.com/article/10.1186/s40462-020-00214-w

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