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[JSTARS 2022] Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker

DF 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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### [**DF**](https://ieeexplore.ieee.org/document/9803284)

- The implementation for "**Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker**".
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.
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:running:Keep updating:running::
- Results of [DF on SatSOT](https://github.com/YZCU/DF/blob/main/rect_result%20of%20DF.zip) have been released.
- Results of [DF on SV248S](https://github.com/YZCU/DF/blob/main/rect_result%20of%20DF.zip) have been released.
- Results of [DF on OOTB](https://github.com/YZCU/DF/blob/main/rect_result%20of%20DF.zip) have been released.
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| Benchmark | DF (PR / SR / NPR)|
| ------------------------------ | ------------------- |
| [SatSOT](https://ieeexplore.ieee.org/document/9672083) |0.560 / 0.436 /|
| [SV248S](https://ieeexplore.ieee.org/document/9875020) |0.837 / 0.525 /|
| [OOTB](https://www.sciencedirect.com/science/article/pii/S0924271624000856) |0.758 / 0.623 / 0.747|

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## Usage
- We have updated and embedded DF tracker into the [OOTB](https://github.com/YZCU/OOTB) project
- OOTB is a benchmark including oriented satellite video datasets and evaluation benchmark
- Codes for DF tracker is in the path `\tracker_benchmark_v1.0\trackers\DF`
- Download the related OOTB dataset on [Baidu Cloud Disk (code: OOTB)](https://pan.baidu.com/s/11hsA4pOliwA1FpOqNol93w)
- Run the `\tracker_benchmark_v1.0\main_running.m`
- Results are saved in `\tracker_benchmark_v1.0\results\results_OPE_ootb`
- Evaluation of the DF tracker. Run `\tracker_benchmark_v1.0\perfPlot.m`
## Abstract
>Satellite video (SV) can acquire rich spatiotemporal information on the Earth. Single object tracking (SOT) in SVs enables the continuous acquisition of the position and range of a specific object, expanding the field of remote-sensing applications. In SVs, objects are small with limited features and vulnerable to tracking drift. In this paper, a correlation filter-based dual-flow (DF) tracker is proposed to explore how the hybridization of spatial-spectral feature fusion and motion model can boost tracking. To represent small objects, the DF adaptively fuses complementary features using a state-aware indicator in feature flow. In motion flow, the indicator perceives the confidence of the feature flow. A dual-mode prediction model is then constructed to simulate the object¡¯s motion pattern, and cooperate linear and non-linear motion patterns to implement SOT in SVs. The ablation experiments demonstrate the dual-flow contributes to tracking. Experimental comparisons on 14 real SVs captured by the Jilin-1 satellite constellation show that DF achieves optimal performance with an area under the curve of 0.912 in the precision plot, 0.700 in the success plot, and a speed of 155.2 frames per second. This work would encourage the development of remote-sensing ground surveillance.
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## Overview
 ![image](https://raw.githubusercontent.com/YZCU/DF/main/fig/df.jpg)
## Results
- Results on OOTB
 ![image](https://raw.githubusercontent.com/YZCU/DF/main/fig/overallresults.jpg)
 ![image](https://raw.githubusercontent.com/YZCU/DF/main/fig/overallfigs.jpg)
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## Citation
If you find our work helpful in your research, kindly consider citing it. We appreciate your support.

```
@ARTICLE{9803284,
  author={Chen, Yuzeng and Tang, Yuqi and Yin, Zhiyong and Han, Te and Zou, Bin and Feng, Huihui},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
  title={Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker}, 
  year={2022},
  volume={15},
  number={},
  pages={6687-6698},
  keywords={Correlation;Videos;Remote sensing;Satellites;Object tracking;Adaptation models;Optical filters;Correlation filter (CF);motion model;satellite video (SV);state-aware indicator (SAI);single object tracking (SOT)},
  doi={10.1109/JSTARS.2022.3185328}}
```
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## Contact
- If you have any questions or suggestions, feel free to contact me.  
- Email: yzchen1006@163.com

:heart:  :heart: We sincerely appreciate the insightful feedback provided by Editors and Reviewers. :heart:  :heart:

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