2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Democratising Camera Trap AI: An Open-Source Model for Detecting UK Mammals
Paul Fergus, Philip Stephens, Russell A. Hill +8
Camera traps have become a cornerstone of biodiversity monitoring, but the artificial intelligence that turns vast quantities of images into usable ecological data is often locked…
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.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…