AnomLite: Efficient binary and multiclass video anomaly detection
Anomaly detection in video surveillance is critical for ensuring public safety, as manual monitoring of numerous video feeds is often challenging and prone to human error. Security operators can struggle to maintain focus over prolonged periods, leading to missed events or delayed responses. An auto...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025002506 |
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