Mining regular behaviors based on multidimensional trajectories

作者：

Highlights：

• The similarity measure between multidimensional trajectories is presented.

• The multidimensional trajectory clustering algorithm (MTCA) is proposed.

• Three indexes to evaluate regular behavior mining results are introduced.

• The performance of MTCA is investigated in military and civilian scenarios.

摘要

•The similarity measure between multidimensional trajectories is presented.•The multidimensional trajectory clustering algorithm (MTCA) is proposed.•Three indexes to evaluate regular behavior mining results are introduced.•The performance of MTCA is investigated in military and civilian scenarios.

论文关键词：Regular behavior,Clustering,Multidimensional trajectory,Hausdorff distance

论文评审过程：Received 7 May 2016, Revised 7 September 2016, Accepted 8 September 2016, Available online 9 September 2016, Version of Record 12 September 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.09.015