156 citations · 179 across the 6 of their papers we have counts for
6 papers
Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning
Carl Chalmers, Paul Fergus, Serge Wich +7
Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Decline in bird populations can result in…
Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps
Paul Fergus, Carl Chalmers, Steven Longmore +7
The biodiversity of our planet is under threat, with approximately one million species expected to become extinct within decades. The reason; negative human actions, which include…
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning
C. Chalmers, P. Fergus, S. Wich +1
For centuries researchers have used sound to monitor and study wildlife. Traditionally, conservationists have identified species by ear; however, it is now common to deploy audio r…
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology
C. Chalmers, P. Fergus, Serge Wich +1
Many different species are adversely affected by poaching. In response to this escalating crisis, efforts to stop poaching using hidden cameras, drones and DNA tracking have been i…
Optimising observing strategies for monitoring animals using drone-mounted thermal infrared cameras
Claire Burke, Maisie Rashman, Serge Wich +3
The proliferation of relatively affordable off-the-shelf drones offers great opportunities for wildlife monitoring and conservation. Similarly the recent reduction in cost of therm…
Addressing environmental and atmospheric challenges for capturing high-precision thermal infrared data in the field of astro-ecology
Claire Burke, Maisie F. Rashman, Owen McAree +4
Using thermal infrared detectors mounted on drones, and applying techniques from astrophysics, we hope to support the field of conservation ecology by creating an automated pipelin…