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首页> 外文期刊>Electronics and Communications in Japan. Part 3, Fundamental Electronic Science >A Simple and Robust Approach to Drift Reduction in Motion Estimation of Human Body
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A Simple and Robust Approach to Drift Reduction in Motion Estimation of Human Body

机译：一种简单而鲁棒的减少人体运动估计漂移的方法

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摘要

Incremental tracking of the human body is performed by accumulating pose displacements frame by frame over the initial pose at the starting frame. The initial pose is measured by fitting an articulated model to the human body in an image, and the pose displacement can be estimated from the intensity difference between successive frames. However, the incremental approach faces a difficulty, namely, drift by accumulation of estimation errors of pose displacements. This paper proposes a simple and robust method of drift reduction. The proposed method measures a pose by model fitting even to the final frame, and calculates the drift between the final pose and the pose obtained as a result of accumulation. The mean drift between the frames is then calculated from the drift at the final frame, and the pose is corrected by subtracting the mean drift from the pose by accumulation in turn. Several iterations of motion estimation and pose correction make the model fit the human body in the intermediate frames. Pose correction can be performed simply by solving a system of linear equations in three unknowns. Several experiments in body tracking prove the proposed method to be effective.
机译：人体的增量跟踪是通过在起始帧的初始姿势上逐帧累积姿势位移来执行的。通过将关节运动模型拟合到图像中的人体来测量初始姿势，并且可以从连续帧之间的强度差估计姿势位移。然而，增量方法面临困难，即，由于姿势位移的估计误差的累积而导致的漂移。本文提出了一种简单而鲁棒的减少漂移的方法。所提出的方法通过甚至对最终帧的模型拟合来测量姿势，并计算最终姿势与作为累积结果而获得的姿势之间的漂移。然后从最后一帧的漂移中计算出帧之间的平均漂移，并通过依次累加从姿势中减去平均漂移来校正姿势。运动估计和姿势校正的几次迭代使模型适合人体在中间帧中的位置。可以通过求解三个未知数中的线性方程组来简单地执行姿势校正。人体跟踪的一些实验证明了该方法是有效的。

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