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Method and apparatus for computer vision analysis of cannon-launched artillery video

机译:大炮发射视频的计算机视觉分析方法和装置

摘要

An automated method to quantify the pitching and yawing motion of a projectile during ballistic flight using two camera/tracker video systems. Image processing tools are used to segment the shape of the projectile in each frame of a launch video, which allows the location and observed pitch angle to be calculated with sub-pixel accuracy. Subsequent automated analysis uses the history of the projectile location and the pitching behavior to calculate estimates for the epicyclic motion, as well as other ballistic parameters such as aeroballistic coefficients. Using two cameras located at different orthographic views of the line-of-fire (LOF) allows the pitching and yawing motion history of the projectile to be calculated in three dimensions (3D). In addition, input of the camera locations, cannon trunnion location, and the cannon pointing direction allows for automatic correction for camera misalignment.
机译:一种自动方法,可以使用两个摄像头/跟踪器视频系统对弹道飞行期间弹丸的俯仰和偏航运动进行量化。图像处理工具用于在发射视频的每一帧中分割弹丸的形状,从而可以以亚像素精度计算位置和观察到的俯仰角。随后的自动分析使用射弹位置的历史记录和俯仰行为来计算周转运动以及其他弹道参数(例如气弹系数)的估算值。使用位于火线(LOF)的不同正交视图上的两个摄像机可以在三个维度(3D)中计算弹丸的俯仰和偏航运动历史记录。另外,通过输入摄像机位置,大炮耳轴位置和大炮指向方向,可以自动校正摄像机的未对准情况。

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