Capture Recapture

Capture-recapture methods aim to estimate population sizes by repeatedly sampling and identifying individuals, using the number of recaptures to infer the total population. Current research focuses on automating this process using machine learning, particularly deep neural networks, for applications like wildlife monitoring (analyzing acoustic or visual data) and digital forensics (detecting image manipulation). These advancements improve efficiency and accuracy compared to manual methods, impacting fields ranging from conservation biology to cybersecurity by providing more reliable population estimates and enhanced security measures.