Seeing biodiversity: perspectives in machine learning for wildlife conservation

no code implementations • 25 Oct 2021 • Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Berger-Wolf

Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices.

BIG-bench Machine Learning

The Animal ID Problem: Continual Curation

no code implementations • 18 Jun 2021 • Charles V. Stewart, Jason R. Parham, Jason Holmberg, Tanya Y. Berger-Wolf

Hoping to stimulate new research in individual animal identification from images, we propose to formulate the problem as the human-machine Continual Curation of images and animal identities.

Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales

no code implementations • 25 Aug 2017 • Hendrik J. Weideman, Zachary M. Jablons, Jason Holmberg, Kiirsten Flynn, John Calambokidis, Reny B. Tyson, Jason B. Allen, Randall S. Wells, Krista Hupman, Kim Urian, Charles V. Stewart

Given the trailing edge from an unknown individual, we produce a ranking of known individuals from a database.

Image Retrieval