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首页> 外文期刊>Annals of Biomedical Engineering >Human Movement Reconstruction from Video Shot by a Single Stationary Camera
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Human Movement Reconstruction from Video Shot by a Single Stationary Camera

机译:从单个固定摄像机拍摄的视频重建人体运动

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One of the key techniques in the research of human motion analysis is the reconstruction of human spatial motion, which utilizes the anatomic points positions that can uniquely define the position and orientation of all anatomical segments. In this paper, upon the basis of Direct Linear Transform (DLT) and a human biomechanical model, the method to reconstruct human motion from an image sequence shot by a single stationary camera was described. In this method, the Lagrange Multiplier Method was used to minimize the difference between the actual and reconstructed length of limbs. This approach here is more comprehensive than previous methods that utilized cost functions to select results from feasible solutions. To examine this method, a practical human motion measured by a motion analysis system was selected and reconstructed. The spatial positions of joints were predicted with an average R 2 of 0.9722 and mean residual error of 0.0022 m. This approach presented here provides a simple way to reconstruct the human spatial motion only utilizing a single camera.
机译:人体运动分析研究中的关键技术之一是人体空间运动的重建,它利用可以唯一定义所有解剖部分的位置和方向的解剖点位置。在本文中,基于直接线性变换(DLT)和人体生物力学模型,描述了一种由单个固定相机拍摄的图像序列重建人体运动的方法。在这种方法中,拉格朗日乘数法用于最小化肢体的实际长度与重建长度之间的差异。与使用成本函数从可行解决方案中选择结果的先前方法相比,此处的方法更为全面。为了检验该方法,选择并重建了由运动分析系统测量的实际人类运动。预测关节的空间位置,平均R 2为0.9722,平均残余误差为0.0022 m。这里介绍的这种方法提供了一种仅使用单个摄像机即可重建人类空间运动的简单方法。

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