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A System for Discovering Regions of Interest from Trajectory Data

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Book cover Advances in Spatial and Temporal Databases (SSTD 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6849))

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Abstract

We show how to find regions of interest (ROIs) in trajectory databases. ROIs are regions where a large number of moving objects remain for at least a given time interval. Our implementation allows a user to quickly identify ROIs under different parametric definitions without scanning the whole database. We generalize ROIs to be regions of arbitrary shape of some predefined density. We also demonstrate that our methods give meaningful output.

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References

  1. Uddin, R., Ravishankar, C., Tsotras, V.J.: Finding regions of interest from trajec- tory data. In: MDM (to appear, 2011)

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  2. Cao, X., Cong, G., Jensen, C.S.: Mining significant semantic locations from gps trajectory. In: VLDB, pp. 1009–1020 (2010)

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  3. Ni, J., Ravishankar, C.V.: Pointwise-dense region queries in spatio-temporal databases. In: IEEE ICDE, pp. 1066–1075 (2007)

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  4. http://research.microsoft.com/en-us/projects/geolife/

  5. http://crawdad.cs.dartmouth.edu

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Author information

Authors and Affiliations

  1. University of California, Riverside, CA, USA

    Muhammad Reaz Uddin, Chinya Ravishankar & Vassilis J. Tsotras

Authors
  1. Muhammad Reaz Uddin
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  2. Chinya Ravishankar
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  3. Vassilis J. Tsotras
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Editor information

Editors and Affiliations

  1. Institute for the Management of Information Systems, Research Center “ATHENA”, G.Mpakou 17, 11524, Athens, Greece

    Dieter Pfoser

  2. Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong SAR, China

    Yufei Tao

  3. School of Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore

    Kyriakos Mouratidis

  4. Department of Computing Science, ATH University of Alberta, T6G 2E8, Edmonton, Alberta, Canada

    Mario A. Nascimento

  5. Department of Computer Science and Engineering, University of Minnesota, 4-192, 200 Union St. SE, Minneapolis, MN, USA

    Mohamed Mokbel  & Shashi Shekhar  & 

  6. Department of Computer Science and Engineering, University of North Texas, 3040 North Elm, Denton, TX, USA

    Yan Huang

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Uddin, M.R., Ravishankar, C., Tsotras, V.J. (2011). A System for Discovering Regions of Interest from Trajectory Data. In: Pfoser, D., et al. Advances in Spatial and Temporal Databases. SSTD 2011. Lecture Notes in Computer Science, vol 6849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22922-0_35

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  • DOI: https://doi.org/10.1007/978-3-642-22922-0_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22921-3

  • Online ISBN: 978-3-642-22922-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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