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Tracking Technique for Athletes in Skilled Video

机译:熟练视频运动员的跟踪技术

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摘要

Accurate analysis of athletes' video is an effective technical way to improve the training effect, and the realization of tracing of athletes in the skilled video is essential for its analysis. Based on OpenCV (open source computer vision library supported by Intel) technology platform, we realize the athletes tracing in the skilled vide using the combination algorithm of Kalman prediction and CamShift tracing. The case application shows that our technical solution is reasonable and feasible, which can provide the valuable references to the related research.
机译:准确分析运动员的视频是提高培训效果的有效技术途径,并且在技术人员视频中的运动员追踪的实现对于其分析至关重要。基于OpenCV(Intel支持的开源计算机视觉库)技术平台,我们使用Kalman预测和CAMShift跟踪的组合算法实现了技术视频中的运动员跟踪。案例申请表明,我们的技术方案是合理可行的,可以为相关研究提供有价值的参考。

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