PrivacEye: Privacy-Preserving First-Person Vision Using Image Features and Eye Movement Analysis

@article{Steil2018PrivacEyePF,
  title={PrivacEye: Privacy-Preserving First-Person Vision Using Image Features and Eye Movement Analysis},
  author={Julian Steil and Marion Koelle and Wilko Heuten and Susanne Boll and Andreas Bulling},
  journal={CoRR},
  year={2018},
  volume={abs/1801.04457}
}
As first-person cameras in head-mounted displays become increasingly prevalent, so does the problem of infringing user and bystander privacy. To address this challenge, we present PrivacEye, a proof-of-concept system that detects privacysensitive everyday situations and automatically enables and disables the first-person camera using a mechanical shutter. To close the shutter, PrivacEye detects sensitive situations from first-person camera videos using an end-to-end deep-learning model. To open… CONTINUE READING
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