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Mass Events Monitoring Through Crowdsourced Media Analysis

Authors:
Marco Cavallo
Ermanno Guardo
Alessandro Ortis
Marco Sapienza
Giuseppe La Torre

Keywords: Crowdsourcing, Data Monitoring, Mobile Edge Computing, Multimedia Analysis

Abstract:
In the context of Smart Cities, the crowdsourced approach provides huge amount of information that can be exploited for the detection and monitoring of critical events. To this aim, a framework to collect and analyze a multitude of crowdsourced data is described in this paper. The proposed system exploits the existing Radio Access Network (RAN) to collect profiled users' contributes within a specific area of interest, which are properly analyzed. The results of such processing are made available to the service that required the monitoring. This supports the decision making process devoted to the critical event response.

Pages: 54 to 57

Copyright: Copyright (c) IARIA, 2017

Publication date: February 19, 2017

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-534-0

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017