Awesome
<div align="center">milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
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This work presents milliFlow, a scene flow estimation module to provide an additional layer of point-wise motion information on top of the original mmWave radar point cloud in the conventional mmWave-based human motion sensing pipeline. For technical details, please refer to our paper on ECCV 2024:
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing <br/> Fangqiang Ding, Zhen Luo, Peijun Zhao, Chris Xiaoxuan Lu <br/> [arXiv] [video] [poster]
News
- [2024-03-15] Our preprint paper is available on 👉arXiv.
- [2024-07-01] Our paper is accepted by 🎉ECCV 2024.
- [2024-09-12] Our presentation video and poster is online. Please check them out 👉video | poster
Data
You can download the dataset here.
Getting Started
To find out how to run our scodes, please see our intructions in GETTING_STARTED, which will be made by the end of October. Stay tuned for update!
Citation
When using the code, model, or dataset, please cite the following paper:
@InProceedings{Ding_2024_ECCV,
author = {Ding, Fangqiang and Luo, Zhen and Zhao, Peijun and Lu, Chris Xiaoxuan},
title = {milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
year = {2024},
pages = {1-14}
}
License
Code and Model License
The code and model provided in this repository are licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). See the LICENSE file for details.
Dataset License
The dataset provided in this repository is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). See the LICENSE file for details.