An evaluation of platforms for processing camera‐trap data using artificial intelligence-Reference-Cited by-同舟云学术

An evaluation of platforms for processing camera‐trap data using artificial intelligence

Published:2022-12-28 Issue:2 Volume:14 Page:459-477
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Vélez Juliana¹²^ORCID,McShea William²,Shamon Hila²,Castiblanco‐Camacho Paula J.³,Tabak Michael A.⁴^ORCID,Chalmers Carl⁵,Fergus Paul⁵,Fieberg John¹^ORCID

Affiliation:

1. Department of Fisheries, Wildlife and Conservation Biology University of Minnesota Saint Paul Minnesota USA

2. Conservation Ecology Center Smithsonian's National Zoo and Conservation Biology Institute Front Royal Virginia USA

3. Departamento de Ciencias Biológicas Universidad de los Andes Bogotá Colombia

4. Quantitative Science Consulting, LLC Toronto Ontario Canada

5. School of Computer Science and Mathematics Liverpool John Moores University Liverpool UK

Funder

Smithsonian Conservation Biology Institute

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.14044

Reference41 articles.

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2. Wildlife Insights: A Platform to Maximize the Potential of Camera Trap and Other Passive Sensor Wildlife Data for the Planet

3. Beery S. Liu Y. Morris D. Piavis J. Kapoor A. Joshi N. Meister M. &Perona P.(2020).Synthetic examples improve generalization for rare classes.Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 863–873.

4. Beery S. Morris D. &Yang S.(2019).Efficient pipeline for camera trap image review.arXiv Preprint arXiv:1907.06772.

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