An algorithmic framework for segmenting trajectories based on spatio-temporal criteria

  • Authors:
  • Maike Buchin;Anne Driemel;Marc van Kreveld;Vera Sacristán

  • Affiliations:
  • TU Eindhoven, The Netherlands;Utrecht University, The Netherlands;Utrecht University, The Netherlands;Universitat Politècnica de Catalunya, Spain

  • Venue:
  • Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
  • Year:
  • 2010

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Abstract

In this paper we address the problem of segmenting a trajectory such that each segment is in some sense homogeneous. We formally define different spatio-temporal criteria under which a trajectory can be homogeneous, including location, heading, speed, velocity, curvature, sinuosity, and curviness. We present a 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, the segmentation problem can generally be solved in O(n log n) time, where n is the number of edges of the trajectory to be segmented.