Unsupervised pattern and outlier detection for pedestrian trajectories using diffusion maps
The movement of pedestrian crowds is studied both for real-world applications and to gain fundamental scientific insights into systems of self-driven particles. Trajectory data describes the dynamics of pedestrian crowds at the level of individual movement paths. Analysing such data is a central cha...
| Auteurs principaux: | , , , |
|---|---|
| Format: | Journal article |
| Langue: | English |
| Publié: |
Elsevier
2023
|