为了使根据人体行走的单目动态图象序列，对人体手臂及腿部的运动及结构参数进行估计的结果更为可信、更具鲁棒性，提出了一种基于相对形变模型及正则化技术的人体运动估计方法，该方法首先在物体中心坐标的运动表示方式下，通过在刚体运动模型中加入形变系数的方法给出了基于相对形变概念的非刚体运动模型；然后，根据这一非刚体运动模型进行正则化运动及结构参数的估计，再以正则化的形式融入人体运动的先验知识，使运动估计的结果更具鲁棒性，实验结果证明，该方法有效地反映了人体的非刚体运动模式，运动模型中所加入的相对形变系数也一定程度反映了人体的运动规律。

In order to improve the creditableness and robustness of the motion and structure parameters of brachium and leg which are estimated based on dynamic monocular image sequence of human motion, this paper proposes an approach to estimate the human motion using a relative deformation model and the technique of regularization. Based on the motion description mode under the object centered coordinate system, this paper proposes a non rigid motion model by incorporating deformation parameters into rigid motion model using the notion of relative deformation. In addition, based on this non rigid motion model, a new approach of the estimation of motion and structure parameters is proposed based on the technique of regularization. In the technique of regularization, by using the prior knowledge of human motion, the robust solution of motion estimation can be obtained. Results of experiments show that the method of this paper is effective for reflecting the pattern of human non rigid motion, and the motion pattern can also be reflected to some extent by the relative elasticity parameters of the non rigid motion model.