NDLI: Finding dense locations in symbolic indoor tracking data: modeling, indexing, and processing

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Finding dense locations in symbolic indoor tracking data: modeling, indexing, and processing

Content Provider	Springer Nature Link
Author	Ahmed, Tanvir Pedersen, Torben Bach Lu, Hua
Copyright Year	2016
Abstract	Finding the dense locations in large indoor spaces is very useful for many applications such as overloaded area detection, security control, crowd management, indoor navigation, and so on. Indoor tracking data can be enormous and are not immediately ready for finding dense locations. This paper presents two graph-based models for constrained and semi-constrained indoor movement, respectively, and then uses the models to map raw tracking records into mapping records that represent object entry and exit times in particular locations. Subsequently, an efficient indexing structure called Hierarchical Dense Location Time Index (HDLT-Index) is proposed for indexing the time intervals of the mapping table, along with index construction, query processing, and pruning techniques. The HDLT-Index supports very efficient aggregate point, interval, and duration queries as well as dense location queries. A comprehensive experimental study with both real and synthetic data shows that the proposed techniques are efficient and scalable and outperforms RDBMSs significantly.
Starting Page	119
Ending Page	150
Page Count	32
File Format	PDF
ISSN	13846175
Journal	GeoInformatica
Volume Number	21
Issue Number	1
e-ISSN	15737624
Language	English
Publisher	Springer US
Publisher Date	2016-11-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Indoor tracking Graph-based model Dense location Spatio-temporal indexing Interval query Aggregate query Duration query Geographical Information Systems/Cartography Data Structures, Cryptology and Information Theory Computer Science Information Storage and Retrieval Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Information Systems

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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