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Real-time tracking of transceiver-free objects for homeland security

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3 Author(s)
Viani, F. ; Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy ; Oliveri, G. ; Massa, A.

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.

Published in:

Radar Conference, 2009. EuRAD 2009. European

Date of Conference:

Sept. 30 2009-Oct. 2 2009

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