AN APPROACH TO VEHICLE RECOGNITION USING SUPERVISED LEARNING

This paper presents a vision-based vehicle recognition system that is based on supervised learning from sample images. It also describes the Modified Quadratic Discriminant Function (MQDF) that is used in the system.

• Supplemental Notes:
  • Publication Date: 1998 IAPR MVA Organizing Committee, Tokyo, Japan
• Corporate Authors:

  University of Hong Kong

  Department of Electrical and Electronic Engineering
  Pok Fu Lam Road
  ,   Hong Kong 

  Keio Gijuku Daigaku

  ,    

  Toyota Chuo Kenkyujo

  ,    

  Universidad Politecnica de Catalunya

  Barcelona,   Spain 
• Authors:
  • Kato, T
  • Ninomiya, T
• Publication Date: 1998

Language

• English

Media Info

• Pagination: p. 77-80
• Serial:
  • IAPR Workshop on Machine Vision Applications (1998 : Chiba, Japan). Proceedings
  • Publisher: University of Hong Kong

Subject/Index Terms

• TRT Terms: Artificial intelligence; Driver support systems; Image processing; Pattern recognition systems
• Subject Areas: Data and Information Technology;

Filing Info

• Accession Number: 00799973
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Oct 12 2000 12:00AM