Showing papers by "Federica Mandreoli published in 2011"
TL;DR: This paper proposes a unified answer to sense disambiguation on a large variety of structures both at data and metadata level such as relational schemas, XML data andschemas, taxonomies, and ontologies.
27 citations
20 Jun 2011
TL;DR: This paper proposes an innovative system relying on the joint use of cameras and RFIDs, allowing us to “map” RFID tags to people detected by cameras and, thus, highlighting potential intruders.
Abstract: Wide open areas represent challenging scenarios for surveillance systems, since sensory data can be affected by noise, uncertainty, and distractors. Therefore, the tasks of localizing and identifying targets (e.g., people) in such environments suggest to go beyond the use of camera-only deployments. In this paper, we propose an innovative system relying on the joint use of cameras and RFIDs, allowing us to “map” RFID tags to people detected by cameras and, thus, highlighting potential intruders. To this end, sophisticated filtering techniques preserve the uncertainty of data and overcome the heterogeneity of sensors, while an evidential fusion architecture, based on Transferable Belief Model, combines the two sources of information and manages conflict between them. The conducted experimental evaluation shows very promising results.
8 citations
TL;DR: This paper relies on a Peer Data Management Systems (PDMS) framework to present innovative network organization and query routing mechanisms which exploit both peers' data description and data content to achieve effective and efficient network management and data retrieval in such a context.
6 citations
13 Oct 2011
TL;DR: A system that “maps” RFID tags to people detected by cameras by using sophisticated techniques to filter the singular modalities and an evidential fusion architecture, based on Transferable Belief Model, to combine the two sources of information and manage conflict between them is introduced.
Abstract: The identification of intruders in groups of people moving in wide open areas represents a challenging scenario where coordination between cameras can be certainly used but this solution is not enough. In this paper, we propose to go beyond pure vision-based approaches by integrating the use of distributed cameras with the RFID technology. To this end, we introduce a system that “maps” RFID tags to people detected by cameras by using sophisticated techniques to filter the singular modalities and an evidential fusion architecture, based on Transferable Belief Model, to combine the two sources of information and manage conflict between them. The conducted experimental evaluation shows very promising results, especially in treating groups of people.
4 citations