| 基于固定场景视频的运动车辆检测 |
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| 引用本文： | 刘樟伟,潘晓东,谭华春.基于固定场景视频的运动车辆检测[J].中南公路工程,2013(5):278-281. |
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| 作者姓名： | 刘樟伟 潘晓东 谭华春 |
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| 作者单位： | [1]同济大学道路与交通工程教育部重点实验室,上海201804 [2]北京理工大学机械与车辆学院,北京100081 |
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| 摘 要： | 为提高智能交通系统中运动车辆检测的效率,在固定场景视频下基于类Haar特征和AdaBoost算法提出了一种运动车辆检测方法.通过提取交通监控图像的扩展类Haar特征,在OpenCV平台上应用AdaBoost算法进行特征提取及训练得到级联分类器,利用级联分类器进行固定场景视频的运动车辆检测.测试结果表明,该方法具有良好的实时性和鲁棒性,在智能交通领域有广泛的应用前景.
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| 关 键 词： | 智能交通系统 车辆检测 类Haar特征 Adaboost算法 |
Vehicle Detection Based on Settled Scene Video |
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| LIU Zhangwei;PAN Xiaodong;TAN Huachun.Vehicle Detection Based on Settled Scene Video[J].Central South Highway Engineering,2013(5):278-281. |
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| Authors: | LIU Zhangwei;PAN Xiaodong;TAN Huachun |
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| Institution: | LIU Zhangwei;PAN Xiaodong;TAN Huachun(Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University,Shanghai 201804, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China) |
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| Abstract: | In order to improve the efficiency of moving vehicle detection in intelligent transportation systems,an algorithm of vehicle detection is proposed based on Haar-like features and AdaBoost algorithm in settled scene video.The extended Haar-like features of traffic monitoring image are extracted,then select features and train cascaded classifiers using AdaBoost algorithm based on the OpenCV,finally detect moving vehicles using cascaded classifiers.Experimental results demonstrate that the proposed approaches has good real-time and robustness,and has abroad application in the field of intelligent transportation systems. |
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| Keywords: | ITS vehicle detection Haar-like features Adaboost algorithm |
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