eprintid: 519
rev_number: 6
eprint_status: archive
userid: 5
dir: disk0/00/00/05/19
datestamp: 2011-07-08
lastmod: 2013-06-30 09:03:30
status_changed: 2013-06-30 09:03:30
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Viani, Federico
creators_name: Oliveri, Giacomo
creators_name: Massa, Andrea
title: Real-Time Tracking of Transceiver-Free Objects for Homeland Security
ispublished: pub
subjects: TU
full_text_status: public
note: This version is a pre-print of the final version available at IEEE.
abstract: The increasing demand in homeland security speeds up the development of innovative and non-invasive systems to localize and track moving objects in complex environments. In this paper the real-time localization of transceiver-free targets is addressed by means of learning by example methodology that exploits the received signal strength indicator available at the nodes of a wireless sensor network as input data. This approach uses neither dedicated sensors nor active devices put on the target to localize both idle and moving objects. The definition of a customized classifier during an offline training procedure enables the real-time generation of a probability map of presence by processing the output of the support vector machine. Some selected experimental results validate the effectiveness of the proposed methodology applied in real scenarios.
date: 2011-01
date_type: published
institution: University of Trento
department: informaticat
refereed: FALSE
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citation:   Viani, Federico and Oliveri, Giacomo and Massa, Andrea  (2011) Real-Time Tracking of Transceiver-Free Objects for Homeland Security.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/519/1/DISI-11-180.C187.pdf