Detect tracking behavior among trajectory data

Abstract

Due to the continuing improvements in location acquisition technology, a large population of GPS-equipped moving objects are tracked in a server. In emergency applications, users may want to detect whether a target is tracked by another object. We formulate the tracking behavior by continuous distance queries in trajectory databases. Index structures are developed to improve the query performance. Using real trajectories, we demonstrate answering continuous distance queries in a database system and animating moving objects fulfilling the distance condition in the user interface. The result benefits mining the interesting behavior among trajectory data and answering distance join queries.