Identifying individual jaguars from camera-trap images using the HotSpotter program

Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes

(2022) Paul Bodesheim et al.   MAMMALIAN BIOLOGY

Individual Identification of Large Felids in Field Studies: Common Methods, Challenges, and Implications for Conservation Science

(2022) Keren S. Pereira et al.   Frontiers in Ecology and Evolution

Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies

(2022) Eve Bohnett et al.   Global Ecology and Conservation

Environmental factors influencing the abundance of four species of threatened mammals in degraded habitats in the eastern Brazilian Amazon

(2020) Juliana Teixeira-Santos et al.   PLoS One

Identifying Individual Jaguars and Ocelots via Pattern‐Recognition Software: Comparing HotSpotter and Wild‐ID

(2020) Robert B. Nipko et al.   WILDLIFE SOCIETY BULLETIN

HotSpotter: Using a computer-driven photo-id application to identify sea turtles

(2020) Stephen G. Dunbar et al.   JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY

Comparison of photo-matching algorithms commonly used for photographic capture-recapture studies

(2017) Maximilian Matthé et al.   Ecology and Evolution

REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes

(2015) A. Cole Burton et al.   JOURNAL OF APPLIED ECOLOGY