activity
20182024
most citedConservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology

19 citations · 65 across the 18 of their papers we have counts for

collaborators

19 papers

cs.CV2024

AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10

Carl Chalmers, Paul Fergus, Serge Wich +6

Effective monitoring of wildlife is critical for assessing biodiversity and ecosystem health, as declines in key species often signal significant environmental changes. Birds, part…

cs.CV2024

Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data

Paul Fergus, Carl Chalmers, Naomi Matthews +7

Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful con…

cs.CV2024★ 5 cited

Harnessing Artificial Intelligence for Wildlife Conservation

Paul Fergus, Carl Chalmers, Steve Longmore +1

The rapid decline in global biodiversity demands innovative conservation strategies. This paper examines the use of artificial intelligence (AI) in wildlife conservation, focusing…

cs.CV2023★ 2 cited

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…

cs.AI2023★ 1 cited

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…

cs.LG2022★ 1 cited

Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance

Paul Fergus, Carl Chalmers, William Henderson +2

Pressure ulcers are a challenge for patients and healthcare professionals. In the UK, 700,000 people are affected by pressure ulcers each year. Treating them costs the National Hea…