| 基于SVM的车型检测和识别算法 |
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| 引用本文： | 葛广英.基于SVM的车型检测和识别算法[J].计算机工程,2007,33(6):6-8. |
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| 作者姓名： | 葛广英 |
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| 作者单位： | 聊城大学物理科学与信息工程学院,聊城,252059 |
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| 摘 要： | 根据模式识别理论和支持向量机(SVM)网络技术，对运动车辆的检测和模式识别、分类进行了研究，提出了基于双帧差“或”运算检测法和基于SVM网络的车型识别和分类算法。实验结果表明，所设计的检测方法和SVM模式识别方法能够快速有效地识别车辆类型并正确地进行分类。
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| 关 键 词： | 支持向量机 模式识别 车型检测 车型分类 |
| 文章编号： | 1000-3428（2007）06-0006-03 |
| 修稿时间： | 2006-03-27 |
Algorithm of Vehicle Detection and Pattern Recognition Using SVM |
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| GE Guangying.Algorithm of Vehicle Detection and Pattern Recognition Using SVM[J].Computer Engineering,2007,33(6):6-8. |
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| Authors: | GE Guangying |
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| Affiliation: | School of Physics and Information Engineering, Liaocheng University, Liaocheng 252059 |
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| Abstract: | Using pattern recognition theory and support vector machine(SVM) network technology, vehicles automatic detection and classification method is discussed in detail. An algorithm of vehicles recognition on the combination of double inter-frame difference ‘or’ operation and SVM network is presented. The experimental results indicate that the algorithm can recognize and classify vehicles rapidly and effectively. |
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| Keywords: | Support vector machine(SVM) Pattern recognition Vehicles detection Vehicles classification |
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