• DocumentCode
    1562779
  • Title

    The vehicle´s classification recognition system based on DTW algorithm

  • Author

    Weng, Guoqing ; He, Tongneng ; Chen, Mingjun ; Shen, Yongzeng

  • Author_Institution
    Coll. of Inf. Eng., Zhejiang univ. of Technol., Hangzhou, China
  • Volume
    5
  • fYear
    2004
  • Firstpage
    4169
  • Abstract
    Sample wave´s amplitude is regarded as criterion of vehicle classification and whole sample´s data is regarded as character parameter of pattern matching in the vehicle´s classification recognition system based on inductive loop detectors. Because of different velocity through inductive loop detector, sample wave has flexibility. When doing automobile type pattern matching, DTW algorithm is adopted to keep similar character consistent. Using MATLAB software, the arithmetic is validated, its feasibility and anticipated effect is obtained.
  • Keywords
    automobiles; pattern classification; pattern matching; time warp simulation; MATLAB software; automobile type pattern matching; character parameter; digital arithmetic; dynamic time warping algorithm; inductive loop detectors; sample waves amplitude; vehicle classification recognition system; Automobiles; Automotive engineering; Character recognition; Data engineering; Detectors; Educational institutions; Helium; Pattern matching; Pattern recognition; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342293
  • Filename
    1342293