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Automated audiovisual behaviour recognition in wild primates

Abstract:

Large video datasets of wild animal behavior are crucial to produce longitudinal research and accelerate conservation efforts; however, large-scale behavior analyses continue to be severely constrained by time and resources. We present a deep convolutional neural network approach and fully automated pipeline to detect and track two audiovisually distinctive actions in wild chimpanzees: buttress drumming and nut cracking. Using camera trap and direct video recordings, we train action recogniti...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1126/sciadv.abi4883
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/T028572/1
EP/M013774/1
Publisher:
American Association for the Advancement of Science
Journal:
Science Advances More from this journal
Volume:
7
Issue:
46
Article number:
eabi4883
Publication date:
2021-11-12
Acceptance date:
2021-09-23
DOI:
EISSN:
2375-2548
Language:
English
Keywords:
Pubs id:
1199889
Local pid:
pubs:1199889
Deposit date:
2021-10-11

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