WiFiCam Dataset | Through-Wall Imaging based on WiFi Channel State Information
Creators
- 1. Computer Vision Lab, TU Wien
Description
Through-Wall Imaging based on WiFi Channel State Information
This repository contains the WiFiCam dataset for through-wall imaging based on WiFi channel state information proposed in [1]. The corresponding source code repository is located at: https://github.com/StrohmayerJ/wificam
The demo video (demo.mp4) showcases the through-wall imaging capabilities of our approach.
Dataset Structure
/wificam
├── j3
└── 320 <-- 320x240 resolution subset
└── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3
└── csiComplex.npy <-- complex CSI sequence (cache)
└── 92108.png <-- 320x240 RGB image
└── 92112.png
└── ...
└── 640 <-- 640x480 resolution subset
└── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3
└── csiComplex.npy <-- complex CSI sequence (cache)
└── 154.png <-- 640x480 RGB image
└── 155.png
└── ...
├── statistics320.csv <-- per-channel means and standard deviations for 320x240 images
├── statistics640.csv <-- per-channel means and standard deviations for 640x480 images
Download and Use
This data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].
[1] J. Strohmayer, R. Sterzinger, C. Stippel and M. Kampel, "Through-Wall Imaging Based On WiFi Channel State Information," 2024 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2024, pp. 4000-4006, doi: 10.1109/ICIP51287.2024.10647775.
BibTeX:
@INPROCEEDINGS{10647775, author={Strohmayer, Julian and Sterzinger, Rafael and Stippel, Christian and Kampel, Martin}, booktitle={2024 IEEE International Conference on Image Processing (ICIP)}, title={Through-Wall Imaging Based On WiFi Channel State Information}, year={2024}, volume={}, number={}, pages={4000-4006}, doi={10.1109/ICIP51287.2024.10647775}}
Files
demo.mp4
Files
(5.7 GB)
Name | Size | Download all |
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md5:df7b66d2748e394799be40c3cda78212
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676.2 kB | Preview Download |
md5:b147371bbf704b38a7a0800b3ad230e0
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5.7 GB | Preview Download |
Additional details
Related works
- Is published in
- Conference paper: 10.1109/ICIP51287.2024.10647775 (DOI)
Dates
- Available
-
2024-10-20
Software
- Repository URL
- https://github.com/StrohmayerJ/wificam
- Programming language
- Python
- Development Status
- Active