activity
20122025
most citedWildbook: Crowdsourcing, computer vision, and data science for conservation

48 citations · 51 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification

Dante Francisco Wasmuht, Otto Brookes, Maximillian Schall +21

Automated video analysis is critical for wildlife conservation. A foundational task in this domain is multi-animal tracking (MAT), which underpins applications such as individual r…

cs.CV2021★ 3 cited

The Animal ID Problem: Continual Curation

Charles V. Stewart, Jason R. Parham, Jason Holmberg +1

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 i…

cs.CY2017★ 48 cited

Wildbook: Crowdsourcing, computer vision, and data science for conservation

Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart +7

Photographs, taken by field scientists, tourists, automated cameras, and incidental photographers, are the most abundant source of data on wildlife today. Wildbook is an autonomous…

cs.CV2017

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

Hendrik J. Weideman, Zachary M. Jablons, Jason Holmberg +8

We address the problem of identifying individual cetaceans from images showing the trailing edge of their fins. Given the trailing edge from an unknown individual, we produce a ran…

stat.ME2012

Mark-Recapture with Multiple Non-invasive Marks

Simon J. Bonner, Jason A. Holmberg

Non-invasive marks, including pigmentation patterns, acquired scars,and genetic mark- ers, are often used to identify individuals in mark-recapture experiments. If animals in a pop…