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摘要

Nowadays, video recording devices such as CCTV, digital cameras, mobile phones and car video recorders are ubiquitous. It becomes more and more frequent that traffic accident scenarios are captured by such video recording devices in one form or another. The present study focuses on the direct extraction of vehicle speeds from video footages by cross-ratio, a well known invariant under specific conditions in projective geometry. The minimum requirements for an accurate and direct determination of vehicle speed by cross-ratio are 2 image frames of the video footage containing the subject vehicle which by and large moves along a straight path from one frame to the other and the time lapsed between the 2 image frames are known. With the aid of a calibrated Doppler radar, a control study has been carried out to validate the method and determine the baseline uncertainty. The validated method has been applied to a small number of real world cases and the results are promising. Experimental results indicate that it is possible to extend its application in speed determination by a car camera.
机译:如今,诸如CCTV,数码相机,移动电话和车载录像机之类的视频记录设备无处不在。这种视频记录设备以一种或另一种形式捕获交通事故场景变得越来越频繁。本研究的重点是通过交叉比率直接从视频镜头中提取车速,交叉比率是射影几何在特定条件下的众所周知的不变性。通过交叉比率准确而直接地确定车速的最低要求是包含目标车辆的视频镜头的2个图像帧,这些图像通常沿一条直线路径从一帧移动到另一帧,并且在这两个帧之间经过的时间图像帧是已知的。借助于校准的多普勒雷达,已经进行了控制研究,以验证该方法并确定基线不确定度。经过验证的方法已应用于少数实际案例,结果令人鼓舞。实验结果表明,有可能将其应用扩展到车载摄像头的速度确定中。

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