Robust Real-Time Visual Tracking Using a 2D-3D Model-Based Approach
Abstract
We present an original method for tracking, in an image sequence, complex objects which can be approximately modeled by a polyhedral shape. The approach relies on the estimation of the 2D object image motion along with the computation of the 3D object pose. The proposed method fulfills real-time constraints along with reliability and robustness requirements. Real tracking experiments and results concerning a visual servoing positioning task are presented.
Cite
Text
Marchand et al. "Robust Real-Time Visual Tracking Using a 2D-3D Model-Based Approach." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.791229Markdown
[Marchand et al. "Robust Real-Time Visual Tracking Using a 2D-3D Model-Based Approach." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/marchand1999iccv-robust/) doi:10.1109/ICCV.1999.791229BibTeX
@inproceedings{marchand1999iccv-robust,
title = {{Robust Real-Time Visual Tracking Using a 2D-3D Model-Based Approach}},
author = {Marchand, Éric and Bouthemy, Patrick and Chaumette, François and Moreau, Valérie},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1999},
pages = {262-268},
doi = {10.1109/ICCV.1999.791229},
url = {https://mlanthology.org/iccv/1999/marchand1999iccv-robust/}
}