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Suggested Citation:"Appendix A: Registered Workshop Participants." National Research Council. 2015. Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/18986.
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A

Registered Workshop Participants

Bajcsy, Ruzena – University of California, Berkeley

Belongie, Serge – Cornell Tech

Betke, Margrit – Boston University

Chellappa, Rama – University of Maryland, College Park

Cheng, Hui – SRI International

Clarke, Elizabeth – NOAA Fisheries

Cyr, Ned – National Oceanic and Atmospheric Administration (NOAA) Fisheries

Dalgleish, Fraser – Florida Atlantic University

Dreves, Harrison – National Research Council (NRC)

Glassman, Neal – NRC

Hart, Dvora – NOAA/Northeast Fisheries Science Center

Hero III, Alfred – University of Michigan

Hicks, Allan – NOAA Fisheries

Hoogs, Anthony – Kitware, Inc.

Howard, Rodney – NRC

Hunt, Stephanie – NOAA Fisheries

Jacobs, David – University of Maryland, College Park

Jaffe, Jules – University of California, San Diego

Kriegman, David – University of California, San Diego

Kunz, Clayton – Google, Inc.

Lapointe, George – Lapointe Consulting

Makris, Nicholas – Massachusetts Institute of Technology

Mellody, Maureen – NRC

Suggested Citation:"Appendix A: Registered Workshop Participants." National Research Council. 2015. Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/18986.
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Merrick, Richard – NOAA Fisheries

Methot, Rick – NOAA Fisheries

Michaels, William – NOAA Fisheries

Miller, Michael – Johns Hopkins University

Palaniappan, Kannappan – University of Missouri, Columbia

Richards, Benjamin – NOAA Fisheries

Roberts, Susan – NRC

Schwalbe, Michelle – NRC

Seetharaman, Guna – Air Force Research Laboratory

Shah, Mubarak – University of Central Florida

Singh, Hanumant – Woods Hole Oceanographic Institution

Spampinato, Concetto – Università de Catania, Italy

Srivastava, Anuj – Florida State University

Stahl, Jennifer – Alaska Department of Fish/Game

Stewart, Chuck – Rensselaer Polytechnic Institute

Terzopoulos, Demetri – University of California, Los Angeles

Thompson, Steven – Simon Fraser University

Veeraraghavan, Ashok – Rice University

Weidman, Scott – NRC

Suggested Citation:"Appendix A: Registered Workshop Participants." National Research Council. 2015. Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/18986.
×
Page 69
Suggested Citation:"Appendix A: Registered Workshop Participants." National Research Council. 2015. Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/18986.
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Page 70
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 Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment: Summary of a Workshop
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The National Marine Fisheries Service (NMFS) is responsible for the stewardship of the nation's living marine resources and their habitat. As part of this charge, NMFS conducts stock assessments of the abundance and composition of fish stocks in several bodies of water. At present, stock assessments rely heavily on human data-gathering and analysis. Automatic means of fish stock assessments are appealing because they offer the potential to improve efficiency and reduce human workload and perhaps develop higher-fidelity measurements. The use of images and video, when accompanies by appropriate statistical analyses of the inferred data, is of increasing importance for estimating the abundance of species and their age distributions.

Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment is the summary of a workshop convened by the National Research Council Committee on Applied and Theoretical Statistics to discuss analysis techniques for images and videos for fisheries stock assessment. Experts from diverse communities shared perspective about the most efficient path toward improved automation of visual information and discussed both near-term and long-term goals that can be achieved through research and development efforts. This report is a record of the presentations and discussions of this event.

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