An evaluation of platforms for processing camera‐trap data using artificial intelligence
Camera traps have quickly transformed the way in which many ecologists study the
distribution of wildlife species, their activity patterns and interactions among members of the …
distribution of wildlife species, their activity patterns and interactions among members of the …
Computer vision, machine learning, and the promise of phenomics in ecology and evolutionary biology
For centuries, ecologists and evolutionary biologists have used images such as drawings,
paintings and photographs to record and quantify the shapes and patterns of life. With the …
paintings and photographs to record and quantify the shapes and patterns of life. With the …
[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 …
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes
Satellites allow large‐scale surveys to be conducted in short time periods with repeat
surveys possible at intervals of< 24 h. Very‐high‐resolution satellite imagery has been …
surveys possible at intervals of< 24 h. Very‐high‐resolution satellite imagery has been …
Next-generation camera trapping: systematic review of historic trends suggests keys to expanded research applications in ecology and conservation
ZJ Delisle, EA Flaherty, MR Nobbe… - Frontiers in Ecology …, 2021 - frontiersin.org
Camera trapping is an effective non-invasive method for collecting data on wildlife species
to address questions of ecological and conservation interest. We reviewed 2,167 camera …
to address questions of ecological and conservation interest. We reviewed 2,167 camera …
Robust ecological analysis of camera trap data labelled by a machine learning model
Ecological data are collected over vast geographic areas using digital sensors such as
camera traps and bioacoustic recorders. Camera traps have become the standard method …
camera traps and bioacoustic recorders. Camera traps have become the standard method …
[HTML][HTML] An IoT system using deep learning to classify camera trap images on the edge
Camera traps deployed in remote locations provide an effective method for ecologists to
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …
Iterative human and automated identification of wildlife images
Camera trapping is increasingly being used to monitor wildlife, but this technology typically
requires extensive data annotation. Recently, deep learning has substantially advanced …
requires extensive data annotation. Recently, deep learning has substantially advanced …
[HTML][HTML] Animal species recognition with deep convolutional neural networks from ecological camera trap images
Accurate identification of animal species is necessary to understand biodiversity richness,
monitor endangered species, and study the impact of climate change on species distribution …
monitor endangered species, and study the impact of climate change on species distribution …
[HTML][HTML] Automated classification of fauna in seabed photographs: The impact of training and validation dataset size, with considerations for the class imbalance
Abstract Machine learning is rapidly developing as a tool for gathering data from imagery
and may be useful in identifying (classifying) visible specimens in large numbers of seabed …
and may be useful in identifying (classifying) visible specimens in large numbers of seabed …