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Mining moving patterns from object trajectories is an crucial task for understanding movement characteristics. In this study, we propose a novel trajectory analysis method to detect split-and-merge patterns based on a virtual running method. A virtual run is a rearranged moving order of objects that minimizes the cost function and is used to perform(More)
This paper proposes a new method called Virtual Run for extracting the representative trajectories from a set of similar trajectories by readjusting the sequence of movements of vehicles. This method uses convex hull and Euclidean minimum spanning tree to move the trajectory sets, so that it can generate the representative trajectories. Those representative(More)
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