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Tracking of Markers for 2D and 3D Gait Analysis Using Home Video Cameras

机译:使用家用摄像机跟踪2D和3D步态分析的标记

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摘要

This work presents the development of an affordable optical motion-capture system which uses home video cameras for 2D and 3D gait analysis. The 2D gait analyzer system consists of one camcorder and one PC while the 3D gait analyzer system uses two camcorders, a flash and two PCs. Both systems make use of 25 fps camcorder, LED markers and technical computing software to track motions of markers attached to human body during walking. In the experiment for 3D gait analyzer system, the two cameras are synchronized by using flash. The recorded videos for both systems are extracted into frames and then converted into binary images, and bridge morphological operation is applied for unconnected pixel to facilitate marker detection process. Least distance method is then employed to track the markers motions, and 3D Direct Linear Transformation is used to reconstruct 3D markers positions. The correlation between length in pixel and in the real world resulted from calibration process is used to reconstruct 2D markers positions. To evaluate the reliability of the 2D and 3D optical motion-capture system developed in the present work, spatio-temporal and kinematics parameters calculated from the obtained markers positions are qualitatively compared with the ones from literature, and the results show good compatibility.
机译:这项工作介绍了一种经济适用的光学运动捕捉系统的开发,该系统使用家用摄像机进行2D和3D步态分析。 2D步态分析仪系统由一台便携式摄像机和一台PC组成,而3D步态分析仪系统则使用两台便携式摄像机,一个闪光灯和两台PC。两种系统均使用25 fps便携式摄录机,LED标记和技术计算软件来跟踪行走过程中附着在人体上的标记的运动。在3D步态分析仪系统的实验中,两个摄像头通过使用闪光灯进行同步。将两个系统的录制视频提取到帧中,然后转换为二进制图像,并对未连接的像素应用桥接形态学操作,以方便标记检测过程。然后采用最小距离方法来跟踪标记的运动,并使用3D直接线性变换来重建3D标记的位置。校准过程导致的像素长度与现实世界之间的相关性被用于重建2D标记位置。为了评估当前工作中开发的2D和3D光学运动捕捉系统的可靠性,将获得的标记位置计算出的时空和运动学参数与文献中的参数进行了定性比较,结果显示出很好的兼容性。

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