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An algorithm to identify avoidance behavior in moving object trajectories

Abstract

Research on trajectory behavior has increased significantly in the last few years. The focus has been on the search for patterns considering the movement of the moving object in space and time, essentially looking for similar geometric properties and dense regions. This paper proposes an algorithm to detect a new kind of behavior pattern that identifies when a moving object is avoiding specific spatial regions, such as security cameras. This behavior pattern is called avoidance. The algorithm was evaluated with real trajectory data and achieved very good results.

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Correspondence to Luis Otavio Alvares.

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A previous version of this paper has appeared at GEOINFO 2010—The Brazilian Symposium on Geoinformatics.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Alvares, L.O., Loy, A.M., Renso, C. et al. An algorithm to identify avoidance behavior in moving object trajectories. J Braz Comput Soc 17, 193–203 (2011). https://doi.org/10.1007/s13173-011-0037-3

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Keywords

  • Trajectory behavior
  • Spatiotemporal pattern
  • Moving objects
  • Trajectory data mining
  • Avoidance behavior