Capturing hotspots for constrained indoor movement

Tanvir Ahmed, Torben Bach Pedersen, Hua Lu

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Abstract

Finding the hotspots in large indoor spaces is very important for getting overloaded locations, security, crowd management, indoor navigation and guidance. The tracking data coming from indoor tracking are huge in volume and not readily available for finding hotspots. This paper presents a graph-based model for constrained indoor movement that can map the tracking records into mapping records which represent the entry and exit times of an object in a particular location. Then it discusses the hotspots extraction technique from the mapping records
OriginalsprogEngelsk
Titel21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM SIGSPATIAL GIS 2013. November 5-8, 2013 - Orlando, Florida
RedaktørerCraig A. Knoblock, Markus Schneider, Peer Kröger, John Krumm, Peter Widmayer
Antal sider4
ForlagAssociation for Computing Machinery
Publikationsdato2013
Sider462-465
ISBN (Trykt)978-1-4503-2521-9
DOI
StatusUdgivet - 2013
Udgivet eksterntJa
Begivenhed21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - Orlando, USA
Varighed: 5 nov. 20138 nov. 2013
Konferencens nummer: 21

Konference

Konference21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Nummer21
Land/OmrådeUSA
ByOrlando
Periode05/11/201308/11/2013

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