Real‐time video anomaly detection for smart surveillance
Abstract Human monitoring of surveillance cameras for anomaly detection may be a monotonous task as it requires constant attention to judge if the captured activities are anomalous or suspicious. This paper exploits background subtraction (BS), convolutional autoencoder, and object detection for a f...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley
2023-04-01
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| Schriftenreihe: | IET Image Processing |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1049/ipr2.12720 |
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