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An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos
Video anomaly recognition in smart cities is an important computer vision task that plays a vital role in smart surveillance and public safety but is challenging due to its diverse, complex, and infrequent occurrence in real-time surveillance environments. Various deep learning models use significan...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8072779/ https://ncbi.nlm.nih.gov/pubmed/33923712 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21082811 |
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