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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Detalles Bibliográficos
Autores principales: Ullah, Waseem, Ullah, Amin, Hussain, Tanveer, Khan, Zulfiqar Ahmad, Baik, Sung Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072779/
https://www.ncbi.nlm.nih.gov/pubmed/33923712
http://dx.doi.org/10.3390/s21082811

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