Paper Title:
Moving Vehicle Classification Using Cloud Model
  Abstract

In this paper, we proposed a vehicle classification algorithm based on cloud model. Cloud model is a new theory which can express the relationship between randomness and fuzziness. Vehicle features, such as vehicle size, shape information, contour information and edge information are extracted for cloud model. Each vehicle class is expressed through cloud model parameters, such as Ex (expectation), En (entropy), with multi-dimensional feature. And cloud classification model is employed to judge the optimal class for each vehicle. Furthermore, attribute similarity is introduced to judge the weight of each feature in classification. Decision tree classifier is utilized for classification. The algorithm’s evaluations on video image series, the results show that cloud model ensures a promising and stable performance in recognizing these vehicle classes, and the algorithm can achieve accuracy and real-time.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
2123-2128
DOI
10.4028/www.scientific.net/KEM.467-469.2123
Citation
Z. Y. Zeng, B. Li, X. J. Tan, J. Z. Zhou, "Moving Vehicle Classification Using Cloud Model", Key Engineering Materials, Vols. 467-469, pp. 2123-2128, 2011
Online since
February 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xiao Yun Chen, Jin Hua Chen
Abstract:There is a problem that the difficulty in text classification will increase when the number of classes increases, to which hierarchical...
2233
Authors: Hong Wei Ma, Qing Hua Mao, Xu Hui Zhang, Da Wei Zhang, Hai Yu Chen
Chapter 3: Mechatronics and Automation
Abstract:Because of steel cord conveyor belt with high load operating and complex conditions of coal mine, it is prone to cause conveyor belt...
1814
Authors: Shi Long Li, Yao Chen
Chapter 3: Engineering Design Theory and Methodology
Abstract:An intelligent classification system of ceramic tiles is introduced in the light of the theory about multi-sensor information fusion. The...
648
Authors: Yan Feng Zhang, Ting Ting Li
Chapter 3: Data Acquisition and Data Processing, Computational Techniques
Abstract:C4.5, Bayesian network and Sequential Minimal Optimization (SMO) are three typical classification algorithms in data mining. Using...
963
Authors: Juan Yang, Feng Xu, Zhi Heng Wei, Jia Liu, Xu Dong An
Chapter 6: Intelligent System
Abstract:The underwater moving targets classfication are important for the underwater surveillance system.This paper presents the classification...
1357