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UrbanCount: Mobile Crowd Counting in Urban Environments
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-9176-3454
KTH, School of Electrical Engineering (EES), Network and Systems engineering. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3704-1338
2017 (English)In: 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) / [ed] Chakrabarti, S Saha, HN, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 640-648Conference paper (Refereed)
Abstract [en]

Surveillance, management and estimation of spontaneous crowd formations in urban environments, e.g., during open-air festivals or rush hours, are necessary measures for city administration. Most solutions that implement these measures however require additional costly hardware installations (e.g., installation of observation cameras) and infrastructure support, and often pose privacy concerns. In this work, we present UrbanCount, a fully distributed crowd counting protocol for cities with high crowd densities. UrbanCount relies on mobile device-to-device communication to perform crowd estimation. Each node collects crowd size estimates from other participants in the system whenever in communication range and immediately integrates these estimates into a local estimate. The objective of UrbanCount is to produce a precise mapping of the local estimate to the anticipated global result while preserving node privacy. We evaluate the proposed protocol via extensive tracedriven simulations of synthetic and realistic mobility models. Furthermore, we investigate the dependency between accuracy and density, and demonstrate that in dense environments the local estimate does not deviate by more than 2% for synthetic and 7% for realistic scenarios. Index Terms-Crowd counting,

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 640-648
Keywords [en]
Crowd counting, device-to-device communication, mobile networks
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-220872ISI: 000418335300112ISBN: 978-1-5386-3371-7 (print)OAI: oai:DiVA.org:kth-220872DiVA, id: diva2:1171555
Conference
8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), October 03-05, 2017, Univ British Columbia, Vancouver, Canada
Note

QC 20180108

Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2018-01-08Bibliographically approved

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Kouyoumdjieva, Sylvia T.Karlsson, Gunnar

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