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Context-Aware Anomaly Detection of Pedestrian Trajectories in Urban Back Streets Using a Variational Autoencoder

Detecting anomalous pedestrian behaviors is critical for enhancing safety in dense urban environments, particularly in complex back streets where movement patterns are irregular and context-dependent. While extensive research has been conducted on trajectory-based anomaly detection for vehicles, shi...

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Principais autores: Juyeon Cho, Youngok Kang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-11-01
Serier:ISPRS International Journal of Geo-Information
Fag:
pedestrian trajectory
anomaly detection
spatiotemporal analysis
alleyway
Variational Autoencoder (VAE)
Online adgang:https://www.mdpi.com/2220-9964/14/11/438
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