Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations

Anıl Osman Tur; Nicola Dall’Asen; Cigdem Beyan; Elisa Ricci

doi:10.1007/978-3-031-43153-1_5

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Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations

Anıl Osman Tur Nicola Dall’Asen Cigdem Beyan Elisa Ricci

Year: 2023 Lecture notes in computer science Pages: 49-62 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-43153-1_5

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Keywords:

Computer science Motion (physics) Generalization Artificial intelligence Anomaly detection Frame (networking) Diffusion Code (set theory) Pattern recognition (psychology) Computer vision Motion compensation Mathematics

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Artificial Immune Systems Applications

Physical Sciences → Engineering → Biomedical Engineering

Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations

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