@inproceedings{701,
  author = {Yanchen Liu and Jingping Nie and Stephen Xia and Jiajing Sun and Peter Wei and Xiaofan Jiang},
  title = {SoFIT: Self-Orienting Camera Network for Floor Mapping and Indoor Tracking},
  abstract = {We present SoFIT, an easily-deployed and privacy-preserving camera network system for occupant tracking. Unlike traditional camera network-based systems, SoFIT does not require a person to calibrate the network or provide real-world references. This enables anyone, including non-professionals, to install SoFIT. Once installed, SoFIT automatically localizes cameras within the network and generates the floor map leveraging movements of people using the space in daily life, before using the floor map and camera locations to track occupants throughout the environment. We demonstrate through a series of deployments that SoFIT can localize cameras with less than 4.8cm error, generate floor maps with 85% similarity to actual floor maps, and track occupants with less than 7.8cm error.},
  year = {2022},
  journal = {18th International Conference on Distributed Computing in Sensor Systems (DCOSS)},
  chapter = {93},
  pages = {8},
  month = {05},
  url = {https://par.nsf.gov/biblio/10416035},
  doi = {10.1109/DCOSS54816.2022.00029},
}