Representing positional uncertainty of individual and aggregated trajectories of moving objects

Manuel G. Garcia, I. Ivanova, Arta Dilo, J.M. Morales Guarin

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

Trajectories are used to represent objects' movement and spatio-temporal aggregation of trajectories is commonly used in knowledge discovery. Based on a general workflow to extract knowledge, we identify relevant factors that propagate uncertainty in moving object datasets when using aggregation. We use a probabilistic approach and propose a theoretical model to represent positional uncertainty of trajectories and their aggregation, and implement a prototype system to compute positional uncertainty in pedestrians' movement data
Original languageEnglish
Title of host publicationSIGSPATIAL'13
Subtitle of host publicationProceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages436-439
ISBN (Print)978-1-4503-2521-9
DOIs
Publication statusPublished - 5 Nov 2013
Event21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013 - Orlando, United States
Duration: 5 Nov 20138 Nov 2013
Conference number: 21

Conference

Conference21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013
Abbreviated titleGIS
CountryUnited States
CityOrlando
Period5/11/138/11/13

Keywords

  • IR-90379
  • METIS-302299

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