Vehicle Speed Measurement Using Brightness Analysis on Video Image

Abstract

To get estimated traveling time and to analyze the traffic flow precisely, it is necessary to survey the traffic flow characteristics on each road. The traffic flow characteristics are represented by some factors such as speed and the number of vehicles passing through the road. In this paper, it proposed to measure the vehicle speed by the brightness analysis of video images.
Since a blur on the image analyzed by the frequency analysis of the image, it is considered that the vehicle speed is calculated by analyzing a blur image.
Simple Fourier transformation shows the periodic feature of the brightness noise as well as the vehicle length component and the blur component that includes the information of the vehicle speed. The periodic feature of the brightness noise prevents us from finding the periodic feature of the component of the vehicle speed. To exclude the unnecessary components from the analysis, two filters introduced into the brightness domain and the frequency domain. These filters make it possible to separate the vehicle speed component and the vehicle length component from the unnecessary components clearly. Then the vehicle speed component is calculated more precisely.