| 基于多特征融合的汽车车型模糊识别方法 |
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| 引用本文： | 聂小燕,祁媛媛,董昕. 基于多特征融合的汽车车型模糊识别方法[J]. 微计算机应用, 2011, 32(11) |
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| 作者姓名： | 聂小燕 祁媛媛 董昕 |
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| 作者单位： | 1. 电子科技大学成都学院电子信息工程系 成都611731
2. 重庆工商大学计算机科学与信息工程学院 重庆400067 |
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| 基金项目： | 电子科技大学成都学院青年科研基金的资助;电子科技大学中央高校基本科研业务费项目资助 |
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| 摘 要： | 车型识别是智能交通系统中的一个重要组成部分.利用计算机视觉、模式识别等理论方法,对车型的有效特征提取与分类识别进行了深入的研究,提出了一种多特征融合的模糊聚类车型识别方法.通过自动调整各维特征的加权系数来调整特征对分类的贡献,结果表明达到了较好的分类效果.
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| 关 键 词： | 特征选择 车型识别 特征融合 模糊识别 |
Vehicle Type Fuzzy Recognition Method Based on Features Fusion |
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| NIE Xiaoyan , QI Yuanyuan , DONG Xin. Vehicle Type Fuzzy Recognition Method Based on Features Fusion[J]. Microcomputer Applications, 2011, 32(11) |
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| Authors: | NIE Xiaoyan QI Yuanyuan DONG Xin |
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| Affiliation: | 1NIE Xiaoyan,2QI Yuanyuan,1DONG Xin(1Department of electronic and information engineering of Chengdu College of UESTC,Chengdu,611731,China,2Chongqing Technology and Business University,Chongqing,400067,China) |
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| Abstract: | Vehicle recognition is an important part of intelligent transportation system.According to computer vision and pattern recognition theory,the feature selection and recognition of vehicle type were researched.So a novel vehicle type fuzzy recognition based on feature fusion was presented.The each feature's contribution to the classification was adjusted through the adjustment of each feature weighting coefficients,and the results show that achieved a good recognition effect. |
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| Keywords: | feature selection vehicle recognition feature fusion fuzzy recognition |
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