ITS information source: Vehicle speed measurement using camera as sensor
ITS information source: Vehicle speed measurement using camera as sensor
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ITS信息来源：使用摄像头作为传感器测量车辆速度
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
P. Mursanto
中科院分区：
文献类型：
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作者：
A. Nurhadiyatna;Benny Hardjono;A. Wibisono;W. Jatmiko;P. Mursanto
智能交通系统（ITS）正在成为全球交通问题的解决方案。各种信息源应支持 ITS 决策，仅举几例：社交媒体、移动代理和闭路电视或 CCTV。在本文中，我们提出了一种使用实时视频处理来估计车辆速度的方法。主成分分析（PCA）用于对车辆进行分类。卡尔曼滤波器用于实时跟踪和识别过往车辆。然后可以通过欧几里得距离方法来估计车辆速度。从10个视频数据获得的速度准确度在63%到99.5%之间。这项研究的视频数据可供公众使用。
Intelligent Transportation System (ITS) is becoming a world wide solution for traffic problem. Various source of information should support the ITS decision making, to name a few: social media, mobile agent, and Closed Circuit Television or CCTV. In this paper we present a method to estimate vehicles speed using video processing in real time. Principal Component Analysis (PCA) is used to classify vehicles. Kalman filter is harnessed to track and identify passing vehicles in real time. Then vehicle speed can be estimated via Euclidean Distance method. Speed accuracy obtained from ten video data, is in the ranges of 63 to 99.5%. The video data from this research is made available for public use.