Deep learning architecture for recognition of abnormal activities

Marwa Khatrouch, Mariem Gnouma, Ridha Ejbali, Mourad Zaied. Deep learning architecture for recognition of abnormal activities. In Antanas Verikas, Petia Radeva, Dmitry P. Nikolaev, Jianhong Zhou, editors, Tenth International Conference on Machine Vision, ICMV 2017, Vienna, Austria, 13-15 November 2017. Volume 10696 of SPIE Proceedings, SPIE, 2017. [doi]

@inproceedings{KhatrouchGEZ17,
  title = {Deep learning architecture for recognition of abnormal activities},
  author = {Marwa Khatrouch and Mariem Gnouma and Ridha Ejbali and Mourad Zaied},
  year = {2017},
  doi = {10.1117/12.2314834},
  url = {https://doi.org/10.1117/12.2314834},
  researchr = {https://researchr.org/publication/KhatrouchGEZ17},
  cites = {0},
  citedby = {0},
  booktitle = {Tenth International Conference on Machine Vision, ICMV 2017, Vienna, Austria, 13-15 November 2017},
  editor = {Antanas Verikas and Petia Radeva and Dmitry P. Nikolaev and Jianhong Zhou},
  volume = {10696},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510619418},
}