The Kneed Walker for Human Pose Tracking
Abstract
The Kneed Walker is a physics-based model derived from a planar biomechanical characterization of human locomotion. By controlling torques at the knees, hips and torso, the model captures a full range of walking motions with foot contact and balance. Constraints are used to properly handle ground collisions and joint limits. A prior density over walking motions is based on dynamics that are optimized for efficient cyclic gaits over a wide range of natural human walking speeds and step lengths, on different slopes. The generative model used for monocular tracking comprises the Kneed Walker prior, a 3D kinematic model constrained to be consistent with the underlying dynamics, and a simple measurement model in terms of appearance and optical flow. The tracker is applied to people walking with varying speeds, on hills, and with occlusion.
Cite
Text
Brubaker and Fleet. "The Kneed Walker for Human Pose Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008. doi:10.1109/CVPR.2008.4587546Markdown
[Brubaker and Fleet. "The Kneed Walker for Human Pose Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008.](https://mlanthology.org/cvpr/2008/brubaker2008cvpr-kneed/) doi:10.1109/CVPR.2008.4587546BibTeX
@inproceedings{brubaker2008cvpr-kneed,
title = {{The Kneed Walker for Human Pose Tracking}},
author = {Brubaker, Marcus A. and Fleet, David J.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2008},
doi = {10.1109/CVPR.2008.4587546},
url = {https://mlanthology.org/cvpr/2008/brubaker2008cvpr-kneed/}
}