This paper deals with distinguishing vehicle types in automobile traffic flow by image processing. In traffic flow, traffic jams always occur. Traffic jams increase driver stress and result in time delays, traffic accidents and air pollution. Thus, it is important to provide traffic information such as vehicle volume and to distinguish vehicle types. In this paper, the authors attempt to do so by using vehicle width. The general measurement of traffic flow is performed using an ultrasonic sensor. But the system is expensive, and the method is not useful for automobile traffic flow. Thus, the authors have developed a simple system using a portable camera, a personal computer and a digital signal processor. This system performs width measurement of vehicles in real-time. The measurement method uses the Fourier transform and has the advantage of robustness to noise. Since frequency analysis for width measurement of vehicle images differs from road image analysis, they measure the vehicle volume and distinguish vehicle types in real-time.
Measurement of road traffic using spatial frequency analysis of TV images
Electrical Engineering in Japan ; 121 , 3 ; 60-66
1997
7 Seiten, 10 Quellen
Aufsatz (Zeitschrift)
Englisch
Measurement of Road Traffic Using Spatial Frequency Analysis of TV Images
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