Efficient crowd anomaly detection using C3D-LSTM networks with enhanced attention mechanisms
The rising deployment of surveillance systems in urban environments necessitates efficient automated anomaly detection methods. While showing promise, current deep learning approaches struggle with computational complexity and real-time performance in processing spatiotemporal information. This pape...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2026-03-01
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| coleção: | Array |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2590005625002528 |
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