Estimating Contact Dynamics

被引:56
作者
Brubaker, Marcus A. [1 ]
Sigal, Leonid [1 ]
Fleet, David J. [1 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON M5S 1A1, Canada
来源
2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) | 2009年
关键词
D O I
10.1109/ICCV.2009.5459407
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Motion and interaction with the environment are fundamentally intertwined. Few people-tracking algorithms exploit such interactions, and those that do assume that surface geometry and dynamics are given. This paper concerns the converse problem, i.e., the inference of contact and environment properties from motion. For 3D human motion, with a 12-segment articulated body model, we show how one can estimate the forces acting on the body in terms of internal forces (joint torques), gravity, and the parameters of a contact model (e. g., the geometry and dynamics of a spring-based model). This is tested on motion capture data and video-based tracking data, with walking, jogging, cartwheels, and jumping.
引用
收藏
页码:2389 / 2396
页数:8
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