“Multi-object tracking in the trawl: a performance comparison of tracking accuracy across tracking algorithms, detection models, and frame rates”, Moses Lurbur, Katherine C. Wilson, Noëlle Yochum
under review
“Automated fish detection in videos to support commercial fishing sustainability and innovation in the Alaska walleye pollock (Gadus chalcogrammus) trawl fishery”, Katherine C. Wilson, Moses Lurbur, Noëlle Yochum, ICES Journal of Marine Science, 2025
accepted!
Presentations
Automated Video Analysis for Marine Science, University of Washington Fisheries Think Tank, 2025 (talk)
Deep learning video analysis to support trawl fishery sustainability, Ocean Sciences Meeting, 2024 (poster, tracking videos)
Using machine learning to differentiate species and count fish in trawl nets, The Food and Agriculture Organization of the United Nations’ Artificial Intelligence for a Digital Blue Planet forum, 2021 (recorded talk)