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A flexible software for tracking of markers used in human motion analysis.

机译:用于跟踪人体运动分析中使用的标记的灵活软件。

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摘要

In this work, we present a software for the tracking of markers used in human motion analysis. This software is based mainly on image sequences captured by video cameras and on image processing and computer vision tools. Unlike the optoelectronic systems, which record only the coordinates of the markers, a video-based system offers more visual information and flexibility which can be exploited in different applications. However, it needs a more complex tracking procedure concerned with the extraction and identification of the used markers. The tracking module presented here is divided into the following three procedures: segmentation, matching and prediction. The segmentation consists in extracting the objects of interest (markers). The matching is used to find the correspondence between the extracted objects in two consecutive frames. The prediction is important to limit the region of processing, thus reducing the execution time. Some results of the automatic tracking are presented together with theirapplication in human motions analysis.
机译:在这项工作中,我们提出了一种用于跟踪人体运动分析中的标记的软件。该软件主要基于摄像机捕获的图像序列以及图像处理和计算机视觉工具。与仅记录标记坐标的光电系统不同,基于视频的系统提供了更多的可视信息和灵活性,可以在不同的应用程序中使用。但是,它需要与提取和识别使用过的标记有关的更复杂的跟踪过程。此处介绍的跟踪模块分为以下三个过程:分割,匹配和预测。分割包括提取感兴趣的对象(标记)。该匹配用于查找两个连续帧中提取的对象之间的对应关系。预测对于限制处理区域很重要,因此可以减少执行时间。介绍了自动跟踪的一些结果及其在人体运动分析中的应用。

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