Deep learning model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos

Karishma Pawar, Vahida Attar. Deep learning model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos. IET Biometrics, 11(4):289-303, 2022. [doi]

@article{PawarA22,
  title = {Deep learning model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos},
  author = {Karishma Pawar and Vahida Attar},
  year = {2022},
  doi = {10.1049/bme2.12064},
  url = {https://doi.org/10.1049/bme2.12064},
  researchr = {https://researchr.org/publication/PawarA22},
  cites = {0},
  citedby = {0},
  journal = {IET Biometrics},
  volume = {11},
  number = {4},
  pages = {289-303},
}