Multiplexing trajectories of moving objects

Authors:
Kostas Patroumpas;Kyriakos Toumbas;Timos Sellis
Affiliations:
School of Electrical and Computer Engineering, National Technical University of Athens, Hellas;School of Electrical and Computer Engineering, National Technical University of Athens, Hellas;School of Electrical and Computer Engineering, National Technical University of Athens, Hellas and Institute for the Management of Information Systems, R.C. "Athena", Hellas
Venue:
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Year:
2012

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Abstract

Continuously tracking mobility of humans, vehicles or merchandise not only provides streaming, real-time information about their current whereabouts, but can also progressively assemble historical traces, i.e., their evolving trajectories. In this paper, we outline a framework for online detection of groups of moving objects with approximately similar routes over the recent past. Further, we propose an encoding scheme for synthesizing an indicative trajectory that collectively represents movement features pertaining to objects in the same group. Preliminary experimentation with this multiplexing scheme shows encouraging results in terms of both maintenance cost and compression accuracy.