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Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery

Hillen, Florian and Meynberg, Oliver and Höfle, Bernhard (2015) Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery. ISPRS International Journal of Geo-Information, 4 (2), pp. 974-988. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/ijgi4020974 ISSN 2220-9964

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Official URL: http://www.mdpi.com/2220-9964/4/2/974


In this paper, we propose a navigation approach for smartphones that enables visitors of major events to avoid crowded areas or narrow streets and to navigate out of dense crowds quickly. Two types of sensor data are integrated. Real-time optical images acquired and transmitted by an airborne camera system are used to compute an estimation of a crowd density map. For this purpose, a patch-based approach with a Gabor filter bank for texture classification in combination with an interest point detector and a smoothing function is applied. Furthermore, the crowd density is estimated based on location and movement speed of in situ smartphone measurements. This information allows for the enhancement of the overall crowd density layer. The composed density information is input to a least-cost routing workflow. Two possible use cases are presented, namely (i) an emergency application and (ii) a basic routing application. A prototypical implementation of the system is conducted as proof of concept. Our approach is capable of increasing the security level for major events. Visitors are able to avoid dense crowds by routing around them, while security and rescue forces are able to find the fastest way into the crowd.

Item URL in elib:https://elib.dlr.de/97234/
Document Type:Article
Title:Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hillen, FlorianUniversität OsnabrückUNSPECIFIED
Meynberg, Oliveroliver.meynberg (at) dlr.deUNSPECIFIED
Höfle, BernhardUniversität HeidelbergUNSPECIFIED
Date:12 June 2015
Journal or Publication Title:ISPRS International Journal of Geo-Information
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:No
DOI :10.3390/ijgi4020974
Page Range:pp. 974-988
Kainz, Wolfgangwolfgang.kainz@univie.ac.at
Winter, StephanThe University of Melbourne, Australia
Yilmaz, AlperThe Ohio State University, USA
Sester, MonikaLeibniz Universität Hannover, Germany
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:geo-information fusion; aerial images; smartphone trajectories; texture classification; Gabor filter; texture classification; least-cost routing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:04 Aug 2015 13:58
Last Modified:21 Sep 2019 05:05

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