Real-time Bicycle Recognition for Intelligent Rear Collision Warning Systems

Accurate and real-time recognition of pedestrians and cyclists have recently emerged as a premier research topic in the field of intelligent transport systems and computer vision. The authors present a vision-based framework for reliable recognition of cyclists in urban traffic environment with tight real-time constraints. The cyclist recognition completes the authors obstacle detection and recognition system composed of two fish-eye cameras invaluable for detecting side-appearing obstacles. The performance of this approach is evaluated and compared with recent publications using real-world data in various urban scenarios. The authors experimental results suggest that it is possible to obtain high recognition rates (95%) and low false-alarm rates (less than 5%) by fusion of three dimensional (3D) and two dimensional (2D) data obtained with ultra wide-angle stereo images.

  • Availability:
  • Supplemental Notes:
    • Abstract used with permission of ITS Japan. Paper No. 2093.
  • Corporate Authors:

    ITS Japan

    Tokyo,   Japan 
  • Authors:
    • Shirvany, Reza
    • Tsishkou, Dzmitry
    • Vestri, Christophe
    • Abad, Frederic
    • Bougnoux, Sylvain
    • Bendahan, Remy
  • Conference:
  • Publication Date: 2013

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; Photos; References;
  • Pagination: 9p
  • Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01536370
  • Record Type: Publication
  • ISBN: 9784990493981
  • Files: TRIS
  • Created Date: Aug 18 2014 3:26PM