Real-Time Closed-World Tracking
Abstract
A real-time tracking algorithm that uses contextual information is described. The method is capable of simultaneously tracking multiple, non-rigid objects when erratic movement and object collisions are common. A closed-world assumption is used to adaptively select and weight image features used for correspondence. Results of algorithm testing and the limitations of the method are discussed. The algorithm has been used to track children in an interactive, narrative playspace.
Cite
Text
Intille et al. "Real-Time Closed-World Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609402Markdown
[Intille et al. "Real-Time Closed-World Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/intille1997cvpr-real/) doi:10.1109/CVPR.1997.609402BibTeX
@inproceedings{intille1997cvpr-real,
title = {{Real-Time Closed-World Tracking}},
author = {Intille, Stephen S. and Davis, James W. and Bobick, Aaron F.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1997},
pages = {697-703},
doi = {10.1109/CVPR.1997.609402},
url = {https://mlanthology.org/cvpr/1997/intille1997cvpr-real/}
}