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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072779/ https://www.ncbi.nlm.nih.gov/pubmed/33923712 http://dx.doi.org/10.3390/s21082811 |