TS-SCAN: a Density-Based Clustering Method for Trajectory Analysis and Anomaly Detection
The surging amount of trajectories from sensors, antennas, and radars calls for the development of modern trajectory analysis techniques. In this context, we have introduced 2 ways to compare trajectories, which include a regularisation for dynamic time warping (DTW) and a faster computation of the Fréchet distance. As an example, we present TS-SCAN, an extension of the DBSCAN algorithm, which computes trajectory clusters and their average scheme in a database.
Authors
- Karim Tit
- Louis‐Marie Traonouez
- Léo Monnier
Institutions
- Université de Technologie de Troyes (FR)
- Centre Inria de l'Université de Rennes (FR)
- Thales (France) (FR)
Publication Details
- Published
- 2024-10-21
- DOI
- https://doi.org/10.1109/radar58436.2024.10994148
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00