Video image processing to create a speed sensor

Details

• Creators:
  Dailey, D. J. ; Li, L.
• Corporate Contributors:
  Transportation Northwest Regional Center X (TransNow) (UTC) ; University of Washington. Dept. of Electrical Engineering ; United States. Department of Transportation. Office of the Secretary
• Subject/TRT Terms:
  • Automated highways
  • Speed detectors
  • Video cameras
  • Advanced traffic management systems
  • Cameras
  • Electronic monitoring systems
  • Freeways
  • Highway transportation
  • Image processing
  • Monitoring
  More +
• Publication/ Report Number:
  TNW-99-01
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final report
• Corporate Publisher:
  Transportation Northwest (TransNow) UTC
• Abstract:
  Image processing has been applied to traffic analysis in recent years, with different goals. In the report, a new approach is presented for extracting vehicular speed information, given a sequence of real-time traffic images. We extract moving edges and process the resulting edge information to obtain quantitative geometric measurements of vehicles. This differs from existing approaches because we use simple geometric relations obtained directly from the image instead of using reference objects to perform camera calibrations. In this report, extensice experiements using images from active TMS (transportation management system) freeway cameras are reported. The results presented in this report demonstrate the validity of our approach which requires neither direct camera control nor placement of a clibration object in the environment. We further argue that it is straightforward to extend out methods to other related traffic applications.
• Format:
  PDF
• Funding:
  DTRS92-G-0010
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/15314/dot_15314_DS1.pdf
• File Type:
  [PDF - 1.98 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:e4c4c773635eeac0e1263fbcae605952fe4dcf8501a87c5508f273f1ccf939a3cc250f266e5ae4a25a1cd0ffca8576c3e0cbf4319fb8dbe58b05dd682dd82088