3D Articulated Models and Multi-View Tracking with Silhouettes
Abstract
We propose a method to estimate the motion of a person filmed by two or more fixed cameras. The novelty of our technique is its ability to cope with fast movements, self-occlusions and noisy images. Our algorithms are based on the latest works on calibration and image segmentation developed in our lab. We compare the projections of a 3D model of a person on the images to the detected silhouettes of the person, and by creating forces that will move the 3D model towards the final estimation of the real pose. We developed a fast algorithm that computes the motion of the articulated 3D model. We show that our results are good, even if the cameras are not synchronized.
Cite
Text
Delamarre and Faugeras. "3D Articulated Models and Multi-View Tracking with Silhouettes." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.790292Markdown
[Delamarre and Faugeras. "3D Articulated Models and Multi-View Tracking with Silhouettes." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/delamarre1999iccv-d/) doi:10.1109/ICCV.1999.790292BibTeX
@inproceedings{delamarre1999iccv-d,
title = {{3D Articulated Models and Multi-View Tracking with Silhouettes}},
author = {Delamarre, Quentin and Faugeras, Olivier D.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1999},
pages = {716-721},
doi = {10.1109/ICCV.1999.790292},
url = {https://mlanthology.org/iccv/1999/delamarre1999iccv-d/}
}