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...
| Main Authors: | , , , |
|---|---|
| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Elsevier
2023
|