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Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera

机译:从未经校准的摄像机的侧面图像实时估计行驶中的车辆

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摘要

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.
机译:为了利用侧视图摄像机图像估计行驶中的车辆的速度,必须使用帧图像找到在车辆上标识的足够数量的参考点的速度矢量。此过程涉及两个主要步骤。第一步,从车辆中选择足够数量的点,并且必须在至少两个连续的视频帧上准确跟踪这些点。在第二步中,通过使用跟踪点的位移矢量和经过的时间,计算这些点的速度矢量。在视频图像坐标系中定义了计算的速度向量,并通过像素单位测量了位移向量。然后,应将图像空间中计算出的矢量的大小转换为对象空间,以找到这些大小的绝对值。这种转换需要在数学意义上的图像到对象空间的信息,该信息是通过视频帧图像的校准和方向参数来实现的。本文提出了针对使用此处提到的侧面摄像头图像问题的建议解决方案。

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