Video-based Vehicle Signature Analysis and Tracking System Phase 2: Algorithm Development and Preliminary Testing

The Video-Base Signature Analysis and Tracking (V2 SAT) System tracks individual vehicles on freeways for data collection purposes. Computer vision methods make simple optical measurements on digitized real-time images of each vehicle on the freeway and a conventional color video camera serves as the primary sensor. Detection modules are placed directly above traffic lanes on an overcrossing or similar support structure, with one detector for each lane. For each passing vehicle, a numeric Video Signature Vector (VSV) is generated and transmitted by the detection module to a central correlation computer, via a low-power wireless network. The correlation computer continuously receives VSVs asynchronously transmitted by all detection modules, and attempts to match VSVs to re-identify vehicles at each site with detectors, in order to determine the progress of each vehicle through the freeway network.


  • English

Media Info

  • Media Type: Digital/other
  • Pagination: 61p + appendix + 3 x CD-ROMs
  • Serial:
    • PATH Working Paper
    • Issue Number: UCB-ITS-PWP-2001-10
    • Publisher: University of California, Berkeley
    • ISSN: 1055-1417

Subject/Index Terms

Filing Info

  • Accession Number: 01393888
  • Record Type: Publication
  • Source Agency: ARRB
  • Report/Paper Numbers: UCB-ITS-PWP-2001-10
  • Created Date: Aug 23 2012 9:51AM