Tracking People with a Sparse Network of Bearing Sensors
Abstract
Recent techniques for multi-camera tracking have relied on either overlap between the fields of view of the cameras or on a visible ground plane. We show that if information about the dynamics of the target is available, we can estimate the trajectory of the target without visible ground planes or overlapping cameras.
Cite
Text
Rahimi et al. "Tracking People with a Sparse Network of Bearing Sensors." European Conference on Computer Vision, 2004. doi:10.1007/978-3-540-24673-2_41Markdown
[Rahimi et al. "Tracking People with a Sparse Network of Bearing Sensors." European Conference on Computer Vision, 2004.](https://mlanthology.org/eccv/2004/rahimi2004eccv-tracking/) doi:10.1007/978-3-540-24673-2_41BibTeX
@inproceedings{rahimi2004eccv-tracking,
title = {{Tracking People with a Sparse Network of Bearing Sensors}},
author = {Rahimi, Ali and Dunagan, Brian and Darrell, Trevor},
booktitle = {European Conference on Computer Vision},
year = {2004},
pages = {507-518},
doi = {10.1007/978-3-540-24673-2_41},
url = {https://mlanthology.org/eccv/2004/rahimi2004eccv-tracking/}
}