Results 11 to 20 of about 42,998 (161)
Recognition of European mammals and birds in camera trap images using deep neural networks
IET Computer VisionMost machine learning methods for animal recognition in camera trap images are limited to mammal identification and group birds into a single class. Machine learning methods for visually discriminating birds, in turn, cannot discriminate between mammals ...
Daniel Schneider +5 more
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Can edge AI mitigate environmental effects on camera trap performance?
Wildlife Society BulletinAbiotic and biotic conditions can affect camera trap performance, and failure to account for environmental factors can bias wildlife research and management inferences modeled from camera trap data. We investigated whether a camera trap enabled with edge
Taylor L. Kaltenbach +3 more
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An Open Standard for Camera Trap Data
Biodiversity Data Journal, 2016 Camera traps that capture photos of animals are a valuable tool for monitoring biodiversity. The use of camera traps is rapidly increasing and there is an urgent need for standardization to facilitate data management, reporting and data sharing.
Tavis Forrester +8 more
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Camera Trap Monitoring for Wildlife Density Estimation with the REST Model: A Handbook Focusing on Rainforest Mammals [PDF]
, 2022 This handbook is a product of an international joint research initiative between Cameroon and Japan funded by JST/JICA SATREPS (JPMJSA1702) and JSPS KAKENHI (JP18K14803, JP 20KK0015, JP21K15173).Earlier handbook version (Hongo et al.
HONGO, Shun, YAJIMA, Gota
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Datasets for Robust ecological analysis of camera trap data labelled by a machine learning model
, 2021 These data accompany Whytock and Swiezewski et al. 2021. Robust ecological analysis of camera trap data labelled by a machine learning model. There are six .csv files in total with information on the species identified in camera trap images and the ...
Orbell, Christopher, Whytock, Robin
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Camera Trap Images used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science" [PDF]
, 2018 All images were downloaded from Zooniverse and have been resized to 330x330 pixels.This dataset provides the camera trap images used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science" as well as meta-data about
Boyer, Amy +7 more
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, 2022 1. Accurate and precise estimates of population status are required to inform and evaluate conservation management and policy interventions. Although the lion (Panthera leo) is a charismatic species receiving increased conservation attention, robust ...
Smit, Josephine B +15 more
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, 2020 The a) plan view and b) profile view of the camera trap station setup. Components are: A, drift fence (~30 x ~300 cm); B, cork floor tile (30 x 30 x 0.6 cm); C, passive infrared (PIR) detection bands to demonstrate orientation; D, Reconyx HC600 camera ...
Frederick Ford (8313726) +3 more
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, 2020 Camera-trap studies in the wild record true-positive data, but data loss from false-negatives (i.e. an animal is present but not recorded) is likely to vary and widely impact data quality.
White, Patrick J. C. +2 more
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Observer differences in individual identification of feral cats from camera trap images
, 2022 Feral cats are a key threat to many Australian native fauna, with camera traps increasingly used to identify individuals for evaluation of management actions. However, observer bias and camera trap settings can affect individual identification rates.
Sparkes, Jessica, Fleming, Peter J. S.
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