Work

Anomaly Detection in Pedestrian Trajectories Using Variational Auto Encoder

Year: 2024

Type: article

Source: Journal of Korean Society for Geospatial Information Science

DOI: 10.7319/kogsis.2024.32.3.029

Authors: Ju Yeon Cho, Young Ok Kang

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4403239780

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