Assessing Rotation-Invariant Feature Classification for Automated Wildebeest Population Counts.

Assessing Rotation-Invariant Feature Classification for Automated Wildebeest Population Counts.

Accurate and on-demand animal population counts are the holy grail for wildlife conservation organizations throughout the world because they enable fast and responsive adaptive management policies. While the collection of image data from camera traps, satellites, and manned or unmanned aircraft has...

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Bibliographic Details
Main Authors: Colin J Torney, Andrew P Dobson, Felix Borner, David J Lloyd-Jones, David Moyer, Honori T Maliti, Machoke Mwita, Howard Fredrick, Markus Borner, J Grant C Hopcraft
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4881999?pdf=render

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http://europepmc.org/articles/PMC4881999?pdf=render

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