First-Person Activity Recognition

We have developed a system for first-person activity recognition. The system is based on a deep convolutional neural network with fine-tuning. The following video is a result of our system.

  • Shinobu Takahashi and Kazuhiko Kawamoto, Object-Action Interaction Region Detection in Egocentric Videos, In Proc. of the 9th International Symposiumu on Computational Intelligence and Industrial Applications, 5 pages, 2020.
  • Ibuki Nakamura, Kazuhiko Kawamoto, and Kazushi Okamoto, Deep Multi-Task Learning Architecture for First-Person Activity Recognition,IEICE TRANSACTIONS on Information and Systems (Japanese Edition), Vol.J102-D, No.8, pp.506-513, 2019.
  • Shunpei Kobayashi and Kazuhiko Kawamoto, First-Person Activity Recognition by Deep Multi-task Network with Hand Segmentation, In Proc. of ISCIIA&ITCA, 5 pages, 2018.