satellite_video_mod_groundtruth

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satellite_video_mod_groundtruth

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This is a set of groundtruth on satellite video for evaluating moving object detection algorithm.

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# Satellite Video MOD Groundtruth

This is a set of groundtruth on satellite video for evaluating moving object detection algorithm.

## What is included?

In this project, we annotate the moving vehicles on two satellite videos, each of whom contains 700 frames. 
The geo-territories of them are shown as below (Red for 001, and Green for 002).

![](https://raw.githubusercontent.com/zhangjunpeng9354/satellite_video_mod_groundtruth/master/images/intro.png)

For each moving vehicle, a boundary box is provided across the video with an unique id, therefore this dataset can also 
be used for evaluating multiple target tracking algorithm.

## How is the groundtruth built?

The boundary boxes are annotated on [Computer Vision Annotation Tool (CVAT)](https://github.com/opencv/cvat).

## How to use it?

Please refer to the [example](/example.py) file for more details.

## Citation

If you use this library for your publications, please cite it as:

```
@ARTICLE{8930094, 
author={J. {Zhang} and X. {Jia} and J. {Hu}}, 
journal={IEEE Transactions on Geoscience and Remote Sensing}, 
title={Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos}, 
year={2019}, 
volume={}, 
number={}, 
pages={1-11}, 
doi={10.1109/TGRS.2019.2953181}, 
ISSN={1558-0644}, 
month={},}
```

Additional refereence:
```
@ARTICLE{9037205, 
author={J. {Zhang} and X. {Jia} and J. {Hu} and J. {Chanussot}}, 
journal={IEEE Transactions on Geoscience and Remote Sensing}, 
title={Online Structured Sparsity-Based Moving-Object Detection From Satellite Videos}, 
year={2020}, 
volume={}, 
number={}, 
pages={1-14}, 
doi={10.1109/TGRS.2020.2976855}, 
ISSN={1558-0644}, 
month={},}
```

```
@INPROCEEDINGS{8615873, 
author={J. {Zhang} and X. {Jia} and J. {Hu} and K. {Tan}}, 
booktitle={2018 Digital Image Computing: Techniques and Applications (DICTA)}, 
title={Satellite Multi-Vehicle Tracking under Inconsistent Detection Conditions by Bilevel K-Shortest Paths Optimization}, 
year={2018}, 
volume={}, 
number={}, 
pages={1-8}, 
doi={10.1109/DICTA.2018.8615873}, 
ISSN={null}, 
month={Dec},}
```

## License

Please refer to [LICENSE](/LICENSE) for more details.

satellite_video_mod_groundtruth

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