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PSCR 2021: Saving Lives One Pixel at a Time: PSCR's Enhancing Computer Vision for Public Safety Challenge

Published

Author(s)

Jeremy Glenn, Scott Ledgerwood, Margaret Pinson

Abstract

The Enhancing Computer Vision for Public Safety Challenge is an open innovation competition from NIST PSCR focused on advancing the capacity of no-reference (NR) metrics and computer vision algorithms to support public safety missions. The finalists in this challenge are creating image or video datasets that will help further image quality research and development aimed at better diagnosis and prediction of camera problems. This session explores the background of this technology area and highlights the challenge goals and the potential for what computer vision can do for public safety.
Conference Dates
June 21-24, 2021
Conference Location
Boulder, CO, US
Conference Title
PSCR 2021: The Digital Experience

Keywords

computer vision, public safety, no-reference metrics

Citation

Glenn, J. , Ledgerwood, S. and Pinson, M. (2021), PSCR 2021: Saving Lives One Pixel at a Time: PSCR's Enhancing Computer Vision for Public Safety Challenge, PSCR 2021: The Digital Experience, Boulder, CO, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932379 (Accessed December 7, 2021)
Created October 1, 2021