ML Anthology

Systems Issues in Distributed Multi-Modal Surveillance

Li Yu, Terrance E. Boult
CVPR 2007
doi:10.1109/CVPR.2007.383528 /cvpr/2007/yu2007cvpr-systems/

Abstract

To be viable commercial multi-modal surveillance systems, the systems need to be reliable, robust and must be able to work at night (maybe the most critical time). They must handle small and non-distinctive targets that are as far away as possible. Like other commercial applications, end users of the systems must be able to operate them in a proper way. In this paper, we focus on three significant inherent limitations of current surveillance systems: the effective accuracy at relevant distances, the ability to define and visualize the events on a large scale, and the usability of the system.

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Cite

Text

Yu and Boult. "Systems Issues in Distributed Multi-Modal Surveillance." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383528

Markdown

[Yu and Boult. "Systems Issues in Distributed Multi-Modal Surveillance." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/yu2007cvpr-systems/) doi:10.1109/CVPR.2007.383528

BibTeX

@inproceedings{yu2007cvpr-systems,
  title     = {{Systems Issues in Distributed Multi-Modal Surveillance}},
  author    = {Yu, Li and Boult, Terrance E.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383528},
  url       = {https://mlanthology.org/cvpr/2007/yu2007cvpr-systems/}
}