智能交通中的实时车型分类算法
methed of real-time vehicle classification in intelligent transportation
本文提出了一种实时的车型分类算法，利用监控视频对道路上行驶的车辆进行车型分类。采用鲁棒的阴影去除算法，以提高车辆划分的准确性；使用基于车道检测的定标方案来对车辆的尺寸进行归一化，提出了基于尺寸和形状的车型识别方案来完成车型分类。实验结果证明，本文所提出的方法具有很好的效果。
his paper presents a real-time vehicle classification algorithm for vehicle classification using the surveillance video of vehicles on the road. A robust shadow removal algorithm was used to improve the vehicle division accuracy. Calibration scheme based on lane detection was used for vehicle size normalization. Vehicle classification was base on the information of size and shap. HOG was used as shape information combined with SVM to classify vehicle. The experimental results show that, the proposed method has a very good effect.
赵衍运、周康
公路运输工程电子技术应用自动化技术、自动化技术设备
模式识别智能交通阴影检测车型分类
pattern recognitionintelligent ransportationshadow detectionvehicle classification
赵衍运,周康.智能交通中的实时车型分类算法[EB/OL].(2012-01-11)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201201-331.点此复制
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