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
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…