Assessing Rotation-Invariant Feature Classification for Automated Wildebeest Population Counts
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چکیده
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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 advanced significantly, the detection and identification of animals within images remains a major...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0156342