Detecting behavior types of moving object trajectories

Discovering Chasing Behavior in Moving Object Trajectories

With the increasing use of mobile devices, a lot of tracks of movement of objects are being collected. The advanced trajectory data mining research has allowed the discovery of many types of patterns from these data, like flocks, leadership, avoidance, frequent sequences, and other types of patterns. In this paper we introduce a new kind of pattern: a chasing behavior between trajectories. We p...

Nearest Neighbor Search on Moving Object Trajectories

With the increasing number of Mobile Location Services (MLS), the need for effective k-NN query processing over historical trajectory data has become the vehicle for data analysis, thus improving existing or even proposing new services. In this paper, we investigate mechanisms to perform NN search on R-tree-like structures storing historical information about moving object trajectories. The pro...

A Query Language for Moving Object Trajectories

Trajectory properties are spatio-temporal properties that describe the changes of spatial (topological) relationships of one moving object with respect to regions and trajectories of other moving objects. Trajectory properties can be viewed as continuous changes of an object’s location resulting in a continuous change in the topological relationship between this object and other entities of int...

Similarity Search in Moving Object Trajectories

The continuous and rapid advent in mobile and communications technology opens the way for new research areas and new applications. Moving Object Databases(MODs) are among the emerging research topics that are attracting many work due to their vital need in many applications. Generally, MODs deal with geometries changing over time. In this paper we study an interesting point in moving object dat...

Prediction of Moving Object Location Based on Frequent Trajectories