Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
In this paper, we present an OLAP framework for trajectories of moving objects. We introduce a new operator GROUP TRAJECTORIES for group-by operations on trajectories and present ...
Oliver Baltzer, Frank K. H. A. Dehne, Susanne E. H...
Indexing moving objects is a fundamental issue in spatiotemporal databases. In this paper, we propose an adaptive Lazy-Update Grid-based index (LUGrid, for short) that minimizes th...
Existing methods for prediction in spatio-temporal databases assume that objects move according to linear functions. This severely limits their applicability, since in practice mo...