IMPROVEMENT OF VEHICLE DETECTING ALGORITHM IN TUNNEL USING IMAGE PROCESSING METHOD

The current emphasis of road construction in Japan is on traversing roads, which often pass through mountainous regions and have many tunnels. Some of these tunnels are equipped with cameras for monitoring traffic inside the tunnel and measuring traffic flow. The authors developed image processing methods that recognize vehicles by detecting the tail lights or headlights, or for vehicles with lights off, a method that can detect the vehicle's body or shadow beneath their body. The second method has been applied in a one-way traffic tunnel only. Before applying it to a two-way traffic tunnel, it is necessary to address problems caused by vehicles running on the opposite lane. The vehicle detecting algorithm is being improved so that the image processing equipment may be introduced into two-way tunnels in the future.

  • 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:
    • Sakai, Katsuhiro
    • NEGISHI, T
    • Toyama, J
  • Conference:
  • Publication Date: 1995-11

Language

  • English

Media Info

  • Pagination: p. 212

Subject/Index Terms

Filing Info

  • Accession Number: 00719344
  • Record Type: Publication
  • Report/Paper Numbers: Volume 1
  • Files: TRIS
  • Created Date: Mar 26 1996 12:00AM