DocumentCode
2899253
Title
Further Studies on the Vehicle Recognition Based on Fuzzy Theory
Author
Yuan, Zhi-Yong ; Yin, Qian ; Guo, Ping
Author_Institution
Sch. of Comput., Wuhan Univ.
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
4111
Lastpage
4115
Abstract
In this paper, we proposed an effective method to classify traffic vehicle based on fuzzy theory. Such method uses two-hierarchy synthesis evaluation model based on fuzzy clustering which can accurately reflect practical situations. It can not only reduce influences caused by subjective factors greatly, but also be performed in a highly efficient way, satisfied real-time requisition. The results of study show that it improves the rate of recognition and meanwhile has a well expandable capability
Keywords
fuzzy set theory; pattern classification; pattern clustering; road traffic; road vehicles; fuzzy clustering; fuzzy theory; traffic vehicle classification; two-hierarchy synthesis evaluation model; vehicle recognition; Clustering algorithms; Computer science; Cybernetics; Electronic mail; Fuzzy systems; Handwriting recognition; Image recognition; Intelligent systems; Intelligent vehicles; Machine learning; Network synthesis; Traffic control; Fuzzy Similitude Matrix; Fuzzy clustering; MCS; Two-hierarchy Synthesis Evaluation Model; Vehicle Classifying;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258870
Filename
4028791
Link To Document