Unsupervised pattern and outlier detection for pedestrian trajectories using diffusion maps

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...

Полное описание

Библиографические подробности
Главные авторы:	Zeng, F, Bode, N, Gross, T, Homer, M
Формат:	Journal article
Язык:	English
Опубликовано:	Elsevier 2023

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