FAST STEREO BASED OBJECT DETECTION FOR STOP & GO TRAFFIC

This paper describes a fast binocular stereo approach for the detection and tracking of objects in stop-and-go traffic. The scheme is based on a local feature extraction and detects dominant objects means of a Hough transform like disparity grouping. The method can be used for both pedestrians and automobiles.

• Supplemental Notes:
  • Publication Date: 1996 Published By: IEEE Service Center, Piscataway NJ
• Corporate Authors:

  Tele Atlas B.V.

  ,    

  Crain Communications, Incorporated

  1155 Gratiot Avenue
  Detroit, MI  United States  48207-2997
• Authors:
  • Franke, U
  • Kutzbach, I
• Conference:
  • Intelligent Vehicles Symposium (1996 : Tokyo, Japan). Proceedings of the 1996 IEEE Intelligent Vehicles Symposium
• Publication Date: 1996

Language

• English

Media Info

• Pagination: p. 339-344

Subject/Index Terms

• TRT Terms: Advanced vehicle control systems; Computer vision
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00776462
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM