WiFiPi: Involuntary tracking of visitors at mass events

@article{Bonn2013WiFiPiIT,
  title={WiFiPi: Involuntary tracking of visitors at mass events},
  author={Bram Bonn{\'e} and Arno Barzan and Peter 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}
}
To simulate crowds at mass events, realistic movement data of people is required. Despite their limited capacity for approximating real human mobility, synthetic movement models are traditionally used for this purpose. More realistic simulations can be achieved by using real-life movement data, gathered by observing people in the desired context. This paper presents a method for tracking people at mass events without the need for active cooperation by the subjects. The mechanism works by… CONTINUE READING

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