Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking

Muhammad Fikko Fadjrimiratno, Yusuke Hatae, Tetsu Matsukawa, Einoshin Suzuki. Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking. In Giovanni Maria Farinella, Petia Radeva, José Braz, Kadi Bouatouch, editors, Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021. pages 943-953, SCITEPRESS, 2021. [doi]

@inproceedings{FadjrimiratnoHM21,
  title = {Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking},
  author = {Muhammad Fikko Fadjrimiratno and Yusuke Hatae and Tetsu Matsukawa and Einoshin Suzuki},
  year = {2021},
  doi = {10.5220/0010313509430953},
  url = {https://doi.org/10.5220/0010313509430953},
  researchr = {https://researchr.org/publication/FadjrimiratnoHM21},
  cites = {0},
  citedby = {0},
  pages = {943-953},
  booktitle = {Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021},
  editor = {Giovanni Maria Farinella and Petia Radeva and José Braz and Kadi Bouatouch},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-488-6},
}