A system for discovering regions of interest from trajectory data

Authors:
Muhammad Reaz Uddin;Chinya Ravishankar;Vassilis J. Tsotras
Affiliations:
University of California, Riverside, CA;University of California, Riverside, CA;University of California, Riverside, CA
Venue:
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Year:
2011

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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.