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...

書誌詳細
主要な著者:	Zeng, F, Bode, N, Gross, T, Homer, M
フォーマット:	Journal article
言語:	English
出版事項:	Elsevier 2023

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