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Human posture probability density estimation based on actual motion measurement and eigenpostures

机译：基于实际运动测量和特征姿势的人体姿势概率密度估计

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In this paper, we construct the human posture probability density that is based on the actual human motion measurement. Human motions in the daily-life were measured for two days by wearing a mechanical motion capture. The accumulated postures were converted to quaternion for a guarantee of the uniqueness of the posture representation. In order to represent the probability density effectively, we propose the eigenpostures for the posture compression and use the kernel based reduced set density estimator (RSDE) for reduction of data samples. By applying the constructed human posture probability density for unprecedented posture detection and human motion segmentation, we verify its effectiveness for many kinds of application.

机译：在本文中，我们构建了基于实际人体运动测量结果的人体姿势概率密度。通过佩戴机械动作捕捉器，测量了两天中人类的动作。累积的姿势将转换为四元数，以保证姿势表示的唯一性。为了有效地表示概率密度，我们提出了姿态压缩的特征姿势，并使用基于核的缩减集密度估计器（RSDE）来减少数据样本。通过将构造的人体姿态概率密度用于前所未有的姿态检测和人体运动分割，我们验证了其在多种应用中的有效性。

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《》|2004年|p.1595-1600|共6页
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Harada; T.; Mori; T.; Sato; T.;
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中图分类无线电电子学、电信技术;
关键词
motion estimation; image segmentation; probability; computer vision; human posture probability density estimation; motion measurement; eigenpostures; mechanical motion capture; posture representation; reduced set density estimator; unprecedented posture detection; human motion segmentation;

机译：运动估计;图像分割;概率;计算机视觉;人体姿势概率密度估计;运动测量;特征姿势;机械运动捕获;姿势表示;简化集密度估计器;空前的姿势检测;人体运动分割;

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专利

1. Human Posture Probability Density Estimation Based on Actual Motion Measurement and Eigenpostures [J] . Tatsuya Harada, Taketoshi Mori, Tomomasa Sato Journal of robotics and mechatronics . 2005,第6期

机译：基于实际运动测量和本征姿态的人体姿态概率密度估计
2. A Theoretical Study on a Computational Algorithm for Human Posture Estimation Based on Motion Capture of a Small Number of Markers [J] . Naoya YOSHIKAWA, Yasuyuki SUZUKI, Ken KIYONO, Advanced Biomedical Engineering . 2013,第2期

机译：基于少量标记运动捕获的人体姿态估计计算算法的理论研究
3. A probability density function model describing height estimation uncertainty due to image pixel intensity noise in digital fringe projection measurements [J] . ODowd Niall M., Wachtor Adam J., Todd Michael D. Optics and Lasers in Engineering . 2021,第Mara期

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4. Human posture probability density estimation based on actual motion measurement and eigenpostures [C] . Harada T., Mori T., Sato T. IEEE International Conference on Systems, Man and Cybernetics . 2004

机译：基于实际运动测量和特征柱的人体姿势概率密度估计
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Human posture probability density estimation based on actual motion measurement and eigenpostures

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