Automatic Extraction of Vehicle, Motorcycle, Bicycle, and Pedestrian Traffic from Video Data

The objective of this research is to develop image processing algorithms to automatically extract vehicle counts and classifications, as well as counts of motorcycles, bicycles, and pedestrians from real-time and offline videos. An easy-to-use graphical user interface will enable SCDOT staff to obtain multimodal traffic data accurately, safely, and cost-effectively to use for HPMS reporting and prioritize infrastructure design improvements and investments.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01733138
  • Record Type: Research project
  • Source Agency: South Carolina Department of Transportation
  • Contract Numbers: SPR 742
  • Files: RiP, STATEDOT
  • Created Date: Mar 9 2020 7:29AM