Fall Detection in Videos Based on Convolutional Neural Networks.

This repository contains the source code for fall detection.

If you use this source code and/or its results, please cite our publications:

@inproceedings{carneiro2019multi,
  title={{Multi-Stream Deep Convolutional Network Using High-Level Features Applied to Fall Detection in Video Sequences}},
  author={S. Carneiro and G. Silva and G. Leite and R. Moreno and S. Guimaraes and H. Pedrini},
  booktitle={26th International Conference on Systems, Signals and Image Processing (IWSSIP)},
  address = {Osijek, Croatia}, 
  pages={293--298},
  month = jun,
  year={2019}
}

@inproceedings{carneiro2019deep,
  author = {S.A. Carneiro and G.P. Silva and G.V. Leite  and R. Moreno and S.J.F. Guimaraes and H. Pedrini},
  title = {{Deep Convolutional Multi-Stream Network Detection System Applied to Fall Identification in Video Sequences}},
  booktitle = {15th International Conference on Machine Learning and Data Mining (MLDM)},
  address = {New York-NY, USA},
  pages={681--695},
  month = jul,
  year={2019},
}

@inproceedings{leite2019fall,
  author = {G.V. Leite and G.P. Silva and H. Pedrini},
  title = {{Fall Detection in Video Sequences Based on a Three-Stream Convolutional Neural Network}},
  booktitle = {18th IEEE International Conference on Machine Learning and Applications (ICMLA)},
  address = {Boca Raton-FL, USA},
  pages = {191--195},
  month = dec,
  year={2019},
}