Use of object detection in camera trap image identification: Assessing a method to rapidly and accurately classify human and animal detections for research and application in recreation ecology

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Most cited references 44

Record: found
Abstract: not found
Article: not found

REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes

A. Cole Burton, Eric W. Neilson, Dario Moreira-Arce … (2015)

0 comments Cited 334 times – based on 0 reviews      Review now

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Record: found
Abstract: not found
Article: not found

Quantifying levels of animal activity using camera trap data

J. Marcus Rowcliffe, Roland Kays, Bart Kranstauber … (2014)

0 comments Cited 172 times – based on 0 reviews      Review now

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Record: found
Abstract: not found
Article: not found

Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors

Robin Steenweg, Mark Hebblewhite, Roland Kays … (2017)

0 comments Cited 148 times – based on 0 reviews      Review now

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Author and article information

Journal

Title: Global Ecology and Conservation

Abbreviated Title: Global Ecology and Conservation

Publisher: Elsevier BV

ISSN (Print): 23519894

Publication date Created: June 2022

Publication date (Print): June 2022

Volume: 35

Page: e02104

Article

DOI: 10.1016/j.gecco.2022.e02104

SO-VID: 01a6a8bb-34ff-4662-aed9-c36c34df8811

License:

https://www.elsevier.com/tdm/userlicense/1.0/

http://creativecommons.org/licenses/by/4.0/

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