Frontiers in quantifying wildlife behavioural responses to chemical pollution
Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …
widespread implications for ecological and evolutionary processes in contaminated wildlife …
Methods for wildlife monitoring in tropical forests: Comparing human observations, camera traps, and passive acoustic sensors
Wildlife monitoring is essential for conservation science and data‐driven decision‐making.
Tropical forests pose a particularly challenging environment for monitoring wildlife due to the …
Tropical forests pose a particularly challenging environment for monitoring wildlife due to the …
A gentle introduction to camera‐trap data analysis
R Sollmann - African Journal of Ecology, 2018 - Wiley Online Library
Camera traps are increasingly used to study wildlife ecology and inform conservation, but
valid inference depends on appropriate data analysis. This article introduces the most …
valid inference depends on appropriate data analysis. This article introduces the most …
Chimpanzee face recognition from videos in the wild using deep learning
Video recording is now ubiquitous in the study of animal behavior, but its analysis on a large
scale is prohibited by the time and resources needed to manually process large volumes of …
scale is prohibited by the time and resources needed to manually process large volumes of …
[HTML][HTML] Use of object detection in camera trap image identification: Assessing a method to rapidly and accurately classify human and animal detections for research …
Camera traps are increasingly used to answer complex ecological questions. However, the
rapidly growing number of images collected presents technical challenges. Each image …
rapidly growing number of images collected presents technical challenges. Each image …
Towards a best‐practices guide for camera trapping: assessing differences among camera trap models and settings under field conditions
Camera trapping is a widely used tool in wildlife research and conservation, and a plethora
of makes and models of camera traps have emerged. However, insufficient attention has …
of makes and models of camera traps have emerged. However, insufficient attention has …
Camera trapping expands the view into global biodiversity and its change
Growing threats to biodiversity demand timely, detailed information on species occurrence,
diversity and abundance at large scales. Camera traps (CTs), combined with computer …
diversity and abundance at large scales. Camera traps (CTs), combined with computer …
Species‐level image classification with convolutional neural network enables insect identification from habitus images
Abstract Changes in insect biomass, abundance, and diversity are challenging to track at
sufficient spatial, temporal, and taxonomic resolution. Camera traps can capture habitus …
sufficient spatial, temporal, and taxonomic resolution. Camera traps can capture habitus …
Insights and approaches using deep learning to classify wildlife
The implementation of intelligent software to identify and classify objects and individuals in
visual fields is a technology of growing importance to operatives in many fields, including …
visual fields is a technology of growing importance to operatives in many fields, including …
Innovations in camera trapping technology and approaches: The integration of citizen science and artificial intelligence
Simple Summary Camera traps, also known as “game cameras” or “trail cameras”, have
increasingly been used in wildlife research over the last 20 years. Although early units were …
increasingly been used in wildlife research over the last 20 years. Although early units were …