underdoc-wang / demo_LBJ19

Sample code for video-like crowd prediction

LBJ 2019 Exhibit

Location Business Japan (LBJ) @Makuhari Messe, Chiba, Japan 6/12-14, 2019.
The largest event in Japan to gain new business opportunities in emerging location technologies.

**Team Demo Poster**

References

The implementation of applied predictive model is based on the papers listed below:

@inproceedings{zhang2017deep,
  title={Deep spatio-temporal residual networks for citywide crowd flows prediction},
  author={Zhang, Junbo and Zheng, Yu and Qi, Dekang},
  booktitle={Thirty-First AAAI Conference on Artificial Intelligence},
  year={2017}
}

@inproceedings{xingjian2015convolutional,
  title={Convolutional LSTM network: A machine learning approach for precipitation nowcasting},
  author={Xingjian, SHI and Chen, Zhourong and Wang, Hao and Yeung, Dit-Yan and Wong, Wai-Kin and Woo, Wang-chun},
  booktitle={Advances in neural information processing systems},
  pages={802--810},
  year={2015}
}