A huge amount of data concerning the position of individual is often gathered in surveillance scenarios, to prevent crimes or to collect evidence of unlawful behaviour. Given the aboundance of data available, detectives need advanced analysis means in order to set apart the interesting locations. This paper proposes a solution that makes use of radial basis neural networks to find the points of interests, i.e. Locations that have been used for meeting, for surveilled people whose paths have been traced. In our solution newly gathered data will be analysed in order to find points of interest, and will also be given to our neural network for further training. Our results show that the proposed approach is accurate enough and can improve the unaided search for meeting points between observed individuals.

Enhancing Environmental Surveillance Against Organised Crime with Radial Basis Neural Networks / Napoli, C; Tramontana, E; Wozniak, M. - (2015), pp. 1476-1483. (Intervento presentato al convegno EEE Symposium Series on Computational Intelligence, SSCI 2015 tenutosi a Cape Town; South Africa) [10.1109/SSCI.2015.209].

Enhancing Environmental Surveillance Against Organised Crime with Radial Basis Neural Networks

Napoli C
;
2015

Abstract

A huge amount of data concerning the position of individual is often gathered in surveillance scenarios, to prevent crimes or to collect evidence of unlawful behaviour. Given the aboundance of data available, detectives need advanced analysis means in order to set apart the interesting locations. This paper proposes a solution that makes use of radial basis neural networks to find the points of interests, i.e. Locations that have been used for meeting, for surveilled people whose paths have been traced. In our solution newly gathered data will be analysed in order to find points of interest, and will also be given to our neural network for further training. Our results show that the proposed approach is accurate enough and can improve the unaided search for meeting points between observed individuals.
2015
EEE Symposium Series on Computational Intelligence, SSCI 2015
Neural Networks; Environmental surveillance; Computer aided Forensics
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Enhancing Environmental Surveillance Against Organised Crime with Radial Basis Neural Networks / Napoli, C; Tramontana, E; Wozniak, M. - (2015), pp. 1476-1483. (Intervento presentato al convegno EEE Symposium Series on Computational Intelligence, SSCI 2015 tenutosi a Cape Town; South Africa) [10.1109/SSCI.2015.209].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1328732
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