VEHICLE VELOCITY ESTIMATION USING IMAGE SENSOR

A new algorithm for individual vehicle velocity estimation from a roadside camera sequence is proposed. The authors have developed a new vehicle detection and tracking algorithm using a rectangular model. Detected rectangles generated by background image subtraction technique have one-to-one correspondence with vehicles. To cope with the detection and quantification of errors in velocity estimation, the detected vehicle rear-end bottom positions are converted to those on the road. The velocity can be estimated by the weighted linear least-mean square method from a series of frames. The results show a relationship that estimated longitudinal velocity errors will be proportional to the square of the distance from the camera. For the covering abstract, see IRRD 490001.

• Corporate Authors:

  ERTICO

  326 Avenue Louis
  Brussels,   Belgium  B-1050

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036

  VERTIS

  TORANOMOM 34 MORI BUILDING 1-25-5
  TORANOMON, MINATOKU, TOKYO 105  Japan 
• Authors:
  • Ohnaka, S
  • Mizoguchi, M
  • Ikeda, T
• Conference:
  • MOBILITY FOR EVERYONE. 4TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS, 21-24 OCTOBER 1997, BERLIN. (PAPER NO. 3210)
• Publication Date: 1997

Language

• English

Media Info

• Features: References;
• Pagination: 5 p.

Subject/Index Terms

• TRT Terms: Calculation; Conferences; Detection and identification; Detectors; Errors; Image processing; Sensors; Speed; Vehicles; Video cameras
• ITRD Terms: 6464: Calculation; 6750: Camera; 8525: Conference; 9115: Detection; 6440: Error; 8633: Image processing; 6120: Sensor; 5408: Speed; 1255: Vehicle
• Subject Areas: Vehicles and Equipment;

Filing Info

• Accession Number: 00757135
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Dec 17 1998 12:00AM