Abstract
In order to estimate the speed of a moving vehicle with side view camera images, velocity vectors of a sufficient number of reference points identified on the vehicle must be found using frame images. This procedure involves two main steps. In the first step, a sufficient number of points from the vehicle is selected, and these points must be accurately tracked on at least two successive video frames. In the second step, by using the displacement vectors of the tracked points and passed time, the velocity vectors of those points are computed. Computed velocity vectors are defined in the video image coordinate system and displacement vectors are measured by the means of pixel units. Then the magnitudes of the computed vectors in image space should be transformed to the object space to find the absolute values of these magnitudes. This transformation requires an image to object space information in a mathematical sense that is achieved by means of the calibration and orientation parameters of the video frame images. This paper presents proposed solutions for the problems of using side view camera images mentioned here.
Highlights
In recent years, much research has been performed for developing real time traffic monitoring systems for managing the traffic flow of roadways, prevention of accidents, providing secure transportation, etc
We present some of the first results of our ongoing research project on the problem of real time estimation of moving vehicles by using side view video images
We examine the problem of real time speed estimation of one moving vehicle from side view video images
Summary
Much research has been performed for developing real time traffic monitoring systems for managing the traffic flow of roadways, prevention of accidents, providing secure transportation, etc. We examine the problem of real time speed estimation of one moving vehicle from side view video images. In order to solve the speed estimation problem of an individual vehicle using video frame images, many points which are identified on the image of the vehicle should be selected. We propose the real-time estimation of only one moving vehicle’s speed by using one video camera and side view images taken with it. Since it is not possible to extract 3D geometric information with one camera, in order to solve the speed estimation problem, some geometric constraints are required and the images should be taken under these constraints and the processing procedures should be performed with those restrictions.
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