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Navigation in Dense Human Crowds Using Smartphone Trajectories and Optical Aerial Imagery

Meynberg, Oliver and Hillen, Florian and Höfle, Bernhard (2014) Navigation in Dense Human Crowds Using Smartphone Trajectories and Optical Aerial Imagery. In: The ISPRS Tracking and Imaging Challenge 2014, pp. 1-4. Photogrammetric Computer Vision - PCV 2014, 5.-7. Sep. 2014, Zürich, Schweiz.

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Official URL: http://www.igp.ethz.ch/photogrammetry/pcv2014/program.html

Abstract

In this paper, we propose a navigation system for smartphones which enables visitors of very large events to avoid crowded areas or narrow streets and to navigate out of a dense crowd quickly. Therefore, two types of sensor data are integrated. First, 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 Bag-of-Visual-Words Framework for texture classification in combination with an interest point detector and a smoothing function is used. Second, the GPS location information and the current movement speeds of the visitors are gathered via a smartphone app and are afterwards analyzed to enhance the final people density estimation. The combined density information is afterwards used for a least-cost navigation. Two possible use cases are presented, namely i) an emergency application and ii) a basic navigation application. A prototypic implementation of the complete system is conducted as proof of concept.

Item URL in elib:https://elib.dlr.de/93348/
Document Type:Conference or Workshop Item (Speech)
Title:Navigation in Dense Human Crowds Using Smartphone Trajectories and Optical Aerial Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Meynberg, Oliveroliver.meynberg (at) dlr.deUNSPECIFIED
Hillen, Florianfhillen (at) igf.uos.deUNSPECIFIED
Höfle, Bernhardbernhard.hoefle (at) geog.uni-heidelberg.deUNSPECIFIED
Date:2014
Journal or Publication Title:The ISPRS Tracking and Imaging Challenge 2014
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:aerial images, pattern recognition, Bag-of-Words model, texture classification, smartphone trajectories, information fusion, least-cost navigation
Event Title:Photogrammetric Computer Vision - PCV 2014
Event Location:Zürich, Schweiz
Event Type:international Conference
Event Dates:5.-7. Sep. 2014
Organizer:ISPRS Technical Commission III
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 By: Meynberg, Dipl.-Ing. Oliver
Deposited On:09 Dec 2014 12:19
Last Modified:31 Jul 2019 19:50

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