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FastATDC: Fast Anomalous Trajectory Detection and...
Conference

FastATDC: Fast Anomalous Trajectory Detection and Classification*

Abstract

Automated detection of anomalous trajectories is an important problem with considerable applications in intelligent transportation systems. Many existing studies have focused on distinguishing anomalous trajectories from normal trajectories, ignoring the large differences between anomalous trajectories. A recent study has made great progress in identifying abnormal trajectory patterns and proposed a two-stage algorithm for anomalous trajectory …

Authors

Ni T; Wang J; Ma Y; Wang S; Liu M; Shen W

Volume

00

Pagination

pp. 1570-1575

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

August 24, 2022

DOI

10.1109/case49997.2022.9926634

Name of conference

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)