VEHICLE DETECTION FOR TRAFFIC MEASUREMENT USING EDGE AND BACKGROUND IMAGE

Automatic traffic measurement systems, such as magnetic loops and ultrasonic sensors, are inflexible in terms of modifications and additions. A new algorithm for detecting vehicles from traffic images obtained from mounted cameras is presented. Since background images (BGIs) are advantageous in distinguishing vehicle from background, and edge detection is stable under fluctuation of the illumination condition, the algorithm creates a BGI and a background edge mask (BEM) adaptively and then extracts vehicle edges using BEM. Extracted edges are projected horizontally for every lane, the projections are adaptively binarized reducing noises and filling holes, and the vertical location of vehicles is detected from the projections. Moreover, the algorithm is tested by computing traffic volume of an actual traffic scene using a method that tracks vehicles and recognizes their passage.

• Supplemental Notes:
  • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
• Corporate Authors:

  VERTIS

  TORANOMOM 34 MORI BUILDING 1-25-5
  TORANOMON, MINATOKU, TOKYO 105  Japan 
• Authors:
  • Ikeda, T
  • Ohnaka, S
  • Mizoguchi, M
• Conference:
  • Steps Forward. Intelligent Transport Systems World Congress
  • Location: Yokohama, Japan
  • Date: 1995-11-9 to 1995-11-11
• Publication Date: 1995-11

Language

• English

Media Info

• Pagination: p. 206

Subject/Index Terms

• TRT Terms: Algorithms; Image processing; Intelligent transportation systems; Traffic measurement; Traffic volume; Vehicle detectors
• Uncontrolled Terms: Background images; Video technology
• Old TRIS Terms: Edge image
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00719343
• Record Type: Publication
• Report/Paper Numbers: Volume 1
• Files: TRIS
• Created Date: Mar 26 1996 12:00AM