Processing citizen science- and machine-annotated time-lapse imagery for biologically meaningful metrics

Time-lapse cameras facilitate remote and high-resolution monitoring of wild animal and plant communities, but the image data produced require further processing to be useful. Here we publish pipelines to process raw time-lapse imagery, resulting in count data (number of penguins per image) and ‘near...

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Detalles Bibliográficos
Autores principales: Jones, Fiona M., Arteta, Carlos, Zisserman, Andrew, Lempitsky, Victor, Lintott, Chris J., Hart, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099010/
https://www.ncbi.nlm.nih.gov/pubmed/32218449
http://dx.doi.org/10.1038/s41597-020-0442-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099010/
https://www.ncbi.nlm.nih.gov/pubmed/32218449
http://dx.doi.org/10.1038/s41597-020-0442-6

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