Capturing Hotspots For Constrained Indoor Movement

Tanvir Ahmed; Torben Bach Pedersen; Hua Lu

doi:10.1145/2525314.2525463

Capturing Hotspots For Constrained Indoor Movement

Tanvir Ahmed, Torben Bach Pedersen, Hua Lu

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

7 Citationer (Scopus)

505 Downloads (Pure)

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.

Originalsprog	Engelsk
Titel	21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013)
Antal sider	4
Forlag	Association for Computing Machinery
Publikationsdato	nov. 2013
Sider	462-465
ISBN (Trykt)	978-1-4503-2521-9
ISBN (Elektronisk)	978-1-4503-2521-9
DOI	https://doi.org/10.1145/2525314.2525463
Status	Udgivet - nov. 2013
Begivenhed	21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013) - Orlando, Florida, USA Varighed: 5 nov. 2013 → 8 nov. 2013 Konferencens nummer: 21 http://sigspatial2013.sigspatial.org/

Konference

Konference	21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013)
Nummer	21
Land/Område	USA
By	Orlando, Florida
Periode	05/11/2013 → 08/11/2013
Internetadresse	http://sigspatial2013.sigspatial.org/

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10.1145/2525314.2525463

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Citationsformater

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title = "Capturing Hotspots For Constrained Indoor Movement",

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. ",

keywords = "Indoor tracking, graph based model, RFID, moving objects",

author = "Tanvir Ahmed and Pedersen, {Torben Bach} and Hua Lu",

year = "2013",

month = nov,

doi = "10.1145/2525314.2525463",

language = "English",

isbn = "978-1-4503-2521-9",

pages = "462--465",

booktitle = "21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013)",

publisher = "Association for Computing Machinery",

address = "United States",

note = " 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013) ; Conference date: 05-11-2013 Through 08-11-2013",

url = "http://sigspatial2013.sigspatial.org/",

}

Ahmed, T, Pedersen, TB & Lu, H 2013, Capturing Hotspots For Constrained Indoor Movement. i 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013). Association for Computing Machinery, s. 462-465, 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013), Orlando, Florida, USA, 05/11/2013. https://doi.org/10.1145/2525314.2525463

Capturing Hotspots For Constrained Indoor Movement. / Ahmed, Tanvir; Pedersen, Torben Bach ; Lu, Hua.
21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013). Association for Computing Machinery, 2013. s. 462-465.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Capturing Hotspots For Constrained Indoor Movement

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AU - Pedersen, Torben Bach

AU - Lu, Hua

N1 - Conference code: 21

PY - 2013/11

Y1 - 2013/11

N2 - 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.

AB - 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.

KW - Indoor tracking

KW - graph based model

KW - RFID

KW - moving objects

U2 - 10.1145/2525314.2525463

DO - 10.1145/2525314.2525463

M3 - Article in proceeding

SN - 978-1-4503-2521-9

SP - 462

EP - 465

BT - 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013)

PB - Association for Computing Machinery

T2 - 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013)

Y2 - 5 November 2013 through 8 November 2013

ER -

Capturing Hotspots For Constrained Indoor Movement

Abstract

Konference

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