智能交通系统实时车辆计数器系统

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009 Pub Date : 2009-11-01 DOI:10.1109/ICICI-BME.2009.5417239

I. Purnama, A. Zaini, B. Putra, M. Hariadi

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引用次数: 8

摘要

介绍了智能交通系统中的实时车辆计数器系统。视频帧流使用一系列程序进行处理:前景提取、对象分割和标记、对象分类以区分摩托车和汽车。前景提取利用简单的方法，背景减法和分割利用数学形态学的方法:膨胀，膨胀和连接分量标记。分类过程是基于连接组件的大小。在没有多余物体阴影的图像中，系统对摩托车的识别成功率最高可达97%，对汽车的识别成功率最高可达95%。

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Real time vehicle counter system for Intelligent Transportation System

This paper presents real time vehicle counter system for Intelligent Transportation System. A stream of video frames is processed using a sequence of procedures: foreground extraction, object segmentation and labeling, and object classification to differentiate between motor- cycle and car. Foreground extraction utilizing a simple method, background subtraction, and the segmentation utilizing methods of mathematical morphology: erotion, dilation and connected component labeling. Classification process is based on the size of connected component. In the image where no shadow of unwanted objects, the system delivers the success rate of a maximum 97% to recognize motorcycle and a maximum 95% to recognize car.

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International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009

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