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THREE-DIMENSIONAL POSTURE ESTIMATION APPARATUS, THREE-DIMENSIONAL POSTURE ESTIMATION METHOD, AND PROGRAM

机译:三维姿势估计装置,三维姿势估计方法和程序

摘要

PROBLEM TO BE SOLVED: To estimate a posture of a posture estimation target from a two-dimensional image when positional relation between the posture estimation target and a camera and a moving direction of the posture estimation target are unknown.;SOLUTION: A three-dimensional motion data acquisition part 111 outputs three-dimensional motion data of a human joint and a virtual viewpoint projection part 112 generates two-dimensional motion data obtained by two-dimensionally projecting each joint to a virtual viewpoint in each virtual viewpoint on a surface of viewpoint sphere around a joint of a waist. A motion model learning part 113 generates a motion model from the three-dimensional motion data and the two-dimensional motion data. An image input part 131 successively inputs image data and a feature value calculation part 132 calculates a feature value indicating a position of the human joint and its change from image data. A three-dimensional posture estimation part 133 calculates posterior probability that each of a plurality of motion models is observed after observation of the feature value calculated from image data up to just preceding image data in the output order of the image data and obtains a posture from the motion model with the calculated highest posterior probability.;COPYRIGHT: (C)2014,JPO&INPIT
机译:解决的问题:当姿势估计目标与照相机之间的位置关系以及姿势估计目标的移动方向未知时,从二维图像估计姿势估计目标的姿势。运动数据获取部分111输出人关节的三维运动数据,并且虚拟视点投影部分112生成通过将每个关节二维投影到视点球面上的每个虚拟视点中的虚拟视点而获得的二维运动数据。围绕腰部的关节。运动模型学习部113根据三维运动数据和二维运动数据生成运动模型。图像输入部131依次输入图像数据,特征量计算部132从图像数据算出表示人体关节的位置及其变化的特征量。三维姿势估计部分133计算在观察到根据图像数据的输出顺序从图像数据直到恰好在前的图像数据计算出的特征值之后观察到多个运动模型中的每一个的后验概率,并从中获取姿势。具有最高后验概率的运动模型。;版权所有:(C)2014,JPO&INPIT

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