WiFiPi: Involuntary tracking of visitors at mass events

@article{Bonn2013WiFiPiIT,
  title={WiFiPi: Involuntary tracking of visitors at mass events},
  author={B. Bonn{\'e} and A. Barzan and P. Quax and Wim Lamotte},
  journal={2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)},
  year={2013},
  pages={1-6}
}
  • B. Bonné, A. Barzan, +1 author Wim Lamotte
  • Published 2013
  • Computer Science
  • 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)
  • To simulate crowds at mass events, realistic movement data of people is required. [...] Key Method The method allows for tracking thousands of people simultaneously, and achieves a higher coverage rate than similar methods for involuntary crowd tracking. Moreover, the coverage rate is expected to increase even further as more people will start using smartphones. The proposed method has many applications in different domains. It also entails privacy implications that must be considered when deploying a similar…Expand Abstract
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