Singularity Analysis for Articulated Object Tracking
Abstract
We analyze the use of kinematic constraints for articulated object tracking. Conditions for the occurrence of singularities in 3-D models are presented and their effects on tracking are characterized We describe a novel 2-D Scaled Prismatic Model (SPM) for figure registration. In contrast to 3-D kinematic models, the SPM has fewer singularity problems and does not require detailed knowledge of the 3-D kinematics. We fully characterize the singularities in the SPM and illustrate tracking through singularities using synthetic and real examples with 3-D and 2-D models. Our results demonstrate the significant benefits of the SPM in tracking with a single source of video.
Cite
Text
Morris and Rehg. "Singularity Analysis for Articulated Object Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698622Markdown
[Morris and Rehg. "Singularity Analysis for Articulated Object Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/morris1998cvpr-singularity/) doi:10.1109/CVPR.1998.698622BibTeX
@inproceedings{morris1998cvpr-singularity,
title = {{Singularity Analysis for Articulated Object Tracking}},
author = {Morris, Daniel D. and Rehg, James M.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1998},
pages = {289-296},
doi = {10.1109/CVPR.1998.698622},
url = {https://mlanthology.org/cvpr/1998/morris1998cvpr-singularity/}
}