Multiplexing Trajectories of Moving Objects
Proceedings of the 24th International Conference on Scientific and Statistical Database Management (SSDBM 2012), pp. 595-600, Chania, Greece, June 2012
2012
Conference/Workshop
- Contact person: Timos Sellis
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.