The Pulse of Allegheny County and Pittsburgh

Cities are increasingly equipped with low-resolution cameras. Video from some of these cameras is publicly accessible in real time. In this project, the authors addressed the problem of building a traffic model for parts of the roads visible from publicly accessible cameras. In particular, the end goal is to build a model capable of detecting different types of vehicles in images in various weather conditions and times of the day except night. Models learn different appearance of vehicles as seen from different viewpoints. A major difficulty with any type of analysis like this is the need for large amounts of training data. In our case, it is easy to collect unlabeled data from publicly available low-resolution low-framerate cameras in Pittsburgh or NYC.

  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Technologies for Safe and Efficient Transportation University Transportation Center

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Moura, José M F
    • Toropov, Evgeny
    • Deri, Joya
    • Kottur, Satwik
  • Publication Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Research Report
  • Features: Figures; Photos;
  • Pagination: 5p

Subject/Index Terms

Filing Info

  • Accession Number: 01603643
  • Record Type: Publication
  • Contract Numbers: DTRT12GUTG11
  • Files: UTC, TRIS, RITA, ATRI, USDOT
  • Created Date: May 27 2016 9:41AM