Mining regular behaviors based on spatiotemporal trajectory multi‐dimensional features

Mining regular behaviors based on spatiotemporal trajectory multi‐dimensional features

Abstract In the military and civilian surveillance domain, it is of great significance to mine regular behaviours of targets for situation awareness and command decision support. Most of the existing trajectory clustering algorithms only consider the similarity of spatial position of the trajectory,...

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Bibliographic Details
Main Authors: Qiaowen Jiang, Yu Liu, Bencai Wang, Qifang He, Caisheng Zhang, Ziran Ding, Tao Jian
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:IET Radar, Sonar & Navigation
Subjects:
Hausdorff distance
multidimensional features
regular behaviour
spatiotemporal trajectory
trajectory clustering
Online Access:https://doi.org/10.1049/rsn2.12317

Internet

https://doi.org/10.1049/rsn2.12317

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