Algorithms for estimating mean vehicle speed using uncalibrated traffic management cameras

by Todd Nelson Schoepflin

Publisher: Washington State Dept. of Transportation, Publisher: Available through the National Technical Information Service] in [Olympia, Wash.], [Springfield, VA

Written in English
Published: Pages: 230 Downloads: 618
Share This

Subjects:

  • Traffic flow -- Mathematical models,
  • Automobiles -- Speed -- Mathematical models,
  • Motor vehicles -- Speed -- Mathematical models,
  • Speed limits -- Mathematical models,
  • Cameras,
  • Photography in traffic engineering

Edition Notes

Statementby Todd Nelson Schoepflin and Daniel J. Dailey.
ContributionsDailey, Daniel J., Washington (State). Dept. of Transportation., Washington State Transportation Center., Washington State Transportation Commission. Planning and Capital Program Management.
The Physical Object
Paginationxxxii, 230 p. :
Number of Pages230
ID Numbers
Open LibraryOL17617324M
OCLC/WorldCa53833988

Algorithms for estimating mean vehicle speed using uncalibrated traffic management cameras by Todd Nelson Schoepflin Download PDF EPUB FB2

Algorithms for Calibrating Roadside Traffic Cameras and Estimating Mean Vehicle Speed Conference Paper November with 39 Reads How we measure 'reads'. An algorithm to estimate mean traffic speed using uncalibrated cameras Article in IEEE Transactions on Intelligent Transportation Systems 1(2) - July with 90 Reads How we measure.

Zhang Z and Xu G () A Unified Theory of Uncalibrated Stereo for Both Perspective and Affine Cameras, Journal of Mathematical Imaging and Vision,(), Online publication date: 1.

Full text of "Intelligent Control Systems Using Soft Computing Methodologies" See other formats. Full text of "Multi Camera Networks Principles And Applications" See other formats. Home; Gartner - Traffic Flow Theory; Gartner - Traffic Flow Theory. Ma | Author: mmartinj80 | Category: Computer Simulation, Acceleration, Physics.

Google publi. GitHub Gist: instantly share code, notes, and snippets. IEEE/RSJ International Conference on Intelligent Robots and Systems Vancouver, BC, Canada September.