Finding Stops in Error-Prone Trajectories of Moving Objects with Time-Based Clustering
Intelligent Interactive Assistance and Mobile Multimedia Computing , volume 53 of Communications in Computer and Information Science, page 275-286. Springer Berlin Heidelberg, (2009)
Abstract
An important problem in the study of moving objects is
the identification of stops. This problem becomes more difficult due to
error-prone recording devices. We propose a method that discovers stops
in a trajectory that contains artifacts, namely movements that did not
actually take place but correspond to recording errors. Our method is
an interactive density-based clustering algorithm, for which we define
density on the basis of both the spatial and the temporal properties of a
trajectory. The interactive setting allows the user to tune the algorithm
and to study the stability of the anticipated stops.
Links and resources
- BibTeX key:
- Zimmermann:IMC09
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