Video-Based 3D Motion Capture Through Biped Control

Project Members

Marek Vondrak (Brown University)
Leonid Sigal (Disney Research Pittsburgh)
Jessica Hodgins (Disney Research Los Angeles, Disney Research Pittsburgh)
Odest Jenkins (Brown University)

Controller Reconstruction from Video: We estimate biped controllers from monocular video sequences (top) together with a physics-based responsive character (bottom left) that we can simulate in new environments (bottom right).


Marker-less motion capture is a challenging problem, particularly when monocular video is all that is available. We estimate biped control from monocular video by implicitly recovering physically plausible three-dimensional motion of a subject along with a character model (controller) capable of replaying this motion in other environments and under physical perturbations. Our approach consists of a state-space biped controller with a balance feedback mechanism that encodes control as a sequence of simple control tasks. Transitions among these tasks are triggered on time and proprioceptive events (e.g., contact). Inference takes the form of optimal control where we optimize (incrementally and/or in a batch) a high-dimensional vector of control parameters and structure of the controller based on an objective function that measures consistency of the resulting simulated motion with input observations. We illustrate our approach by automatically estimating controllers for a variety of motions directly from monocular video. To decouple errors introduced from tracking in video from errors introduced by the controllers, we also test on reference motion capture data. We show that estimation of controller structure through incremental optimization and refinement leads to controllers that are more stable and that better approximate the reference motion. We demonstrate our approach by capturing sequences of walking, jumping, and gymnastics. We evaluate the results through qualitative and quantitative comparisons to video and motion capture data.



Video-Based 3D Motion Capture Through Biped Control
August 5, 2014
Paper File [pdf, 6.34 MB]

Copyright Notice

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.