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https://github.com/forschumi/siamfc-mxnet

SiamFC tracking in MXNet.
https://github.com/forschumi/siamfc-mxnet

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SiamFC tracking in MXNet.

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# SiamFC - MXNet
:high_brightness: MXNet/gluon :high_brightness: port of the tracking method described in the paper [*Fully-Convolutional Siamese nets for object tracking*](https://www.robots.ox.ac.uk/~luca/siamese-fc.html)

## Running the tracker
1) Set `root_dataset` in `hyperparams/params.json` to your dataset path
1) Set `all` from `hyperparams/params.json` to `true` or to set one or more specific sequences (e.g. `Basketball` and/or `Soccer`) in `video` with setting `all` to `false`
1) See if you are happy with the default parameters in `hyperparams/params.json`
1) Call the main script `python run_tracker.py`
1) The results.mat can be found in `results` which you can run on OTB

Results on test sequence:

![tracking_girl](https://user-images.githubusercontent.com/3716307/57589277-b96ed400-755c-11e9-9f83-5b0e9c04b0a0.gif)

## AUC (%) on OTB
| Tracker | OTB2013 | OTB2015 |
| ------------------ | ------------- | ------------- |
| paper (SiamFC_3s) | 60.8 | 58.2 |
| ours (SiamFC_MXnet) | 60.9 | 58.8 |

## Precision (%) on OTB
| Tracker | OTB2013 | OTB2015 |
| ----------------- | ------------- | ------------- |
| paper (SiamFC_3s) | 80.9 | 77.3 |
| ours (SiamFC_MXnet) | 81.4 | 76.7 |

## Note
Some errors in `fixed_crop` and `resize` need to be fixed, which caused me a lot of headaches

## References
```
@inproceedings{bertinetto2016fully,
title={Fully-Convolutional Siamese Networks for Object Tracking},
author={Bertinetto, Luca and Valmadre, Jack and Henriques, Joao F and Vedaldi, Andrea and Torr, Philip H S},
booktitle={ECCV 2016 Workshops},
pages={850--865},
year={2016}
}
```