A Reasoning Engine for Intruders' Localization in Wide Open Areas Using a Network of Cameras and RFIDs
Abstract
Wide open areas represent challenging scenarios forsurveillance systems, since sensory data can be affected bynoise, uncertainty, and distractors. Therefore, the tasks oflocalizing and identifying targets (e.g., people) in such environmentssuggest to go beyond the use of camera-only deployments. In this paper, we propose an innovative systemrelying on the joint use of cameras and RFIDs, allowing usto “map” RFID tags to people detected by cameras and, thus, highlighting potential intruders. To this end, sophisticatedfiltering techniques preserve the uncertainty of dataand overcome the heterogeneity of sensors, while an evidentialfusion architecture, based on Transferable Belief Model, combines the two sources of information and manages conflictbetween them. The conducted experimental evaluationshows very promising results.
Cite
Text
Cucchiara et al. "A Reasoning Engine for Intruders' Localization in Wide Open Areas Using a Network of Cameras and RFIDs." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981728Markdown
[Cucchiara et al. "A Reasoning Engine for Intruders' Localization in Wide Open Areas Using a Network of Cameras and RFIDs." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/cucchiara2011cvprw-reasoning/) doi:10.1109/CVPRW.2011.5981728BibTeX
@inproceedings{cucchiara2011cvprw-reasoning,
title = {{A Reasoning Engine for Intruders' Localization in Wide Open Areas Using a Network of Cameras and RFIDs}},
author = {Cucchiara, Rita and Fornaciari, Michele and Haider, Razia and Mandreoli, Federica and Martoglia, Riccardo and Prati, Andrea and Sassatelli, Simona},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2011},
pages = {33-40},
doi = {10.1109/CVPRW.2011.5981728},
url = {https://mlanthology.org/cvprw/2011/cucchiara2011cvprw-reasoning/}
}