Journal of Spatial Information Science | |
Segmenting trajectories: A framework and algorithms using spatiotemporal criteria | |
Maike Buchin ; Anne Driemel ; Marc van Kreveld ; Vera Sacristan | |
关键词: spatial and spatiotemporal information systems; computational geometry; moving objects analysis; trajectory analysis; segmentation; | |
学科分类:计算机科学(综合) | |
来源: University of Maine | |
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【 摘 要 】
In this paper we address the problem of segmenting a trajectory based on spatiotemporal criteria. We require that each segment is homogeneous in the sense that a set of spatiotemporal criteria are fulfilled. We define different such criteria, including location, heading, speed, velocity, curvature, sinuosity, curviness, and shape. We present an algorithmic framework that allows us to segment any trajectory into a minimum number of segments under any of these criteria, or any combination of these criteria. In this framework, a segmentation can generally be computed in O(n log n) time, where n is the number of edges of the trajectory to be segmented. We also discuss the robustness of our approach.
【 授权许可】
CC BY
【 预 览 】
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