STMaker - A System to Make Sense of Trajectory Data

Widely adoption of GPS-enabled devices generates large amounts of trajectories every day. The raw trajectory data describes the movement history of moving objects by a sequence of 〈 longitude, latitude, time-stamp 〉 triples, which are nonintuitive for human to perceive the prominent features of the trajectory, such as where and how the moving object travels. In this demo, we present the STMaker system to help users make sense of individual trajectories. Given a trajectory, STMaker can automatically extract the significant semantic behavior of the trajectory, and summarize the behavior by a short human-readable text. In this paper, we first introduce the phrases of generating trajectory summarizations, and then show several real trajectory summarization cases.