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.
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258870
