TRACKING OF OCCLUDED VEHICLES IN TRAFFIC SCENES

In this paper, the authors demonstrate how an image sequence analysis system can be improved by an explicity model-based recognition of 3D occlusion situations. Results obtained from real world image sequences recording gas station traffic as well as inner-city intersection traffic are presented.

• Supplemental Notes:
  • Publication Date: 1996 Published By: Springer-Verlag, Berlin
• Corporate Authors:

  Universitat Karlsruhe. Institut fur Algorithmen und Kognitive Systeme

  ,    
• Authors:
  • FRANK, T
• Conference:
  • European Conference on Computer Vision (4th : 1996 : Cambridge England). Computer vision - ECCV '96. Vol. 2
• Publication Date: 1996

Language

• English

Media Info

• Pagination: p. 485-494

Subject/Index Terms

• TRT Terms: Computer vision; Traffic surveillance

Filing Info

• Accession Number: 00774564
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM