Real-time anomaly detection for ‘Remote’ bus stop surveillance using unsupervised conditional generative adversarial networks

In response to the imbalance between normal and abnormal samples in existing anomaly detection datasets, as well as the complexity in defining anomalies, we introduce a new dataset named Remote Stop to provide data support for existing algorithms. Concurrently, we propose an unsupervised video anoma...

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