VISUAL TRACKING FOR INTELLIGENT VEHICLE-HIGHWAY SYSTEMS

In this paper, the authors propose robust detection and tracking techniques for intelligent vehicle highway applications where computer vision plays a crucial role. They demonstrate that the Controlled Active Vision framework can be utilized to provide a visual tracking modality to a traffic advisory system in order to increase the overall safety margin in a variety of common traffic situations. Two applications, vehicle tracking and pedestrian tracking, are used to demonstrate that the framework can provide precisely the type of information required to effectively manage the given traffic situation.

• Supplemental Notes:
  • Publication Date: November 1996
• Authors:
  • Smith, Christopher E
• Publication Date: 1996

Language

• English

Media Info

• Pagination: p. 744-759
• Serial:
  • IEEE transactions on vehicular technology. Vol. 45, no. 4
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Subject/Index Terms

• TRT Terms: Image processing; In vehicle sensors; Pedestrian detectors

Filing Info

• Accession Number: 00787261
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 2000 12:00AM