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Articles

Vol. 2 No. 1 (2016)

Lane Discovery in Traffic Video

  • Nicholas Miller
  • David M. Swart
  • Akshaya Mishra
  • Andrew Achkar
DOI
https://doi.org/10.15353/vsnl.v2i1.125
Submitted
October 17, 2016

Abstract

Video sensing has become very important in Intelligent Transportation Systems (ITS) due to its relative low cost and non-invasive deployment. An effective ITS requires detailed traffic information, including vehicle volume counts for each lane in surveillance video of a highway or an intersection. The multiple-target, vehicle-tracking and counting problem is most reliably solved in a reduced space defined by the constraints of the vehicles driving within lanes. This requires lanes to be pre-specified. An off-line pre-processing method is presented which automatically discovers traffic lanes from vehicle motion in uncalibrated video from a stationary camera. A moving vehicle density map is constructed, then multiple lane curves are fitted. Traffic lanes are found without relying on possibly noisy tracked vehicle trajectories.