| 一种基于支持向量机的行人识别方法研究 |
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| 引用本文： | 郭烈,张明恒,李琳辉,赵一兵.一种基于支持向量机的行人识别方法研究[J].大连理工大学学报,2011,51(4):604-610. |
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| 作者姓名： | 郭烈 张明恒 李琳辉 赵一兵 |
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| 作者单位： | 1. 大连理工大学工业装备结构分析国家重点实验室,辽宁大连116024 大连理工大学汽车工程学院,辽宁大连116024
2. 大连理工大学汽车工程学院,辽宁大连,116024 |
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| 基金项目： | 中央高校基本科研业务费资助项目(20083013893308) |
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| 摘 要： | 研究了基于支持向量机的车辆前方行人识别方法.通过提取样本的类Haar特征,采用AdaBoost算法训练得到了分割行人的级联分类器,实现了行人候选区域的快速分割;提取了样本的纹理特征、对称性特征、边界矩特征以及梯度方向特征,组成表征行人的多维特征向量,采用支持向量机训练得到了识别行人的分类器.试验结果验证了所提算法的有效性,获得约75%的行人检测率.
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| 关 键 词： | 汽车主动安全 行人识别 AdaBoost算法 支持向量机 |
Research on pedestrian recognition method based on support vector machines |
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| GUO Lie,ZHANG Mingheng,LI Linhui,ZHAO Yibing.Research on pedestrian recognition method based on support vector machines[J].Journal of Dalian University of Technology,2011,51(4):604-610. |
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| Authors: | GUO Lie ZHANG Mingheng LI Linhui ZHAO Yibing |
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| Institution: | GUO Lie1,2,ZHANG Ming-heng2,LI Lin-hui2,ZHAO Yi-bing2(1.State Key Laboratory of Structural Analysis for Industrial Equipment,Dalian University of Technology,Dalian 116024,China,2.School of Automotive Engineering,China) |
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| Abstract: | A support vector machine-based recognition method of pedestrian in front of automotive is introduced.The Haar-like characteristics of samples were selected and calculated,and the cascaded classifiers were trained using AdaBoost algorithm to fastly segment candidate pedestrian areas from the image.To form a multidimensional pedestrian describing vector,the texture and symmetry features,as well as boundary moment and gradient oriented features were abstracted from sample images,and the classifiers for pedestr... |
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| Keywords: | automotive active safety pedestrian recognition AdaBoost algorithm support vector machines |
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