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
Link To Document