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Fully Automatic Pitching Location Analysis System Using High-Speed Cameras

机译：使用高速摄像机的全自动俯仰位置分析系统

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摘要

In this paper, we propose a ball image saving framework for an automatic baseball pitching location analysis system using high-speed cameras. In the existing system, it is difficult to manually select the frames in which the ball is included from the experimental pitching videos. The proposed automatic framework extracts ball candidate regions by differencing three consecutive frames from the acquired sequence in the buffer. The ball candidate regions are identified as a ball by comparing circularity with a pre-defined threshold value. If the ball exists among the ball candidate regions, the current sequence is saved to storage. Since the system utilizes high-speed cameras, we apply a ball detection method that has low computational cost. Experiments on many images captured by the proposed system demonstrate that the proposed framework and ball detection method can automate the pitching location analysis system.
机译：在本文中，我们提出了一种使用高速摄像机的自动棒球投球位置分析系统的球图像保存框架。在现有系统中，很难从实验投球视频中手动选择其中包括球的帧。所提出的自动框架通过从缓冲区中获取的序列中区分出三个连续的帧来提取候选球区域。通过将圆形度与预定阈值进行比较，将候选球区域识别为一个球。如果球存在于候选球区域之间，则当前序列将保存到存储器中。由于系统使用高速摄像机，因此我们采用了一种计算成本较低的球检测方法。对所提出的系统捕获的许多图像进行的实验表明，所提出的框架和球检测方法可以使投球位置分析系统自动化。

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