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# Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)
### Introduction
This is the research code for the paper:
[Chao Ma](https://sites.google.com/site/chaoma99/), [Jia-Bin Huang](https://sites.google.com/site/jbhuang0604/), [Xiaokang Yang](http://english.seiee.sjtu.edu.cn/english/detail/842_802.htm) and [Ming-Hsuan Yang](http://faculty.ucmerced.edu/mhyang/), "Hierarchical Convolutional Features for Visual Tracking", ICCV 2015 [PDF]()
The correlation filters with convolutional features (CF2) is a state-of-the-art tracker that exploits rich feature hierarchy from deep convolutional neural networks for visual tracking. For more details, please visit our [Project page]().
### Citation
If you find the code and dataset useful in your research, please consider citing:
@inproceedings{Ma-ICCV-2015,
title={Hierarchical Convolutional Features for Visual Tracking},
Author = {Ma, Chao and Huang, Jia-Bin and Yang, Xiaokang and Yang, Ming-Hsuan},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
pages={},
Year = {2015}
}
### Contents
| Folder | description |
| ---|---|
Feedbacks and comments are welcome! Feel free to contact us via [chaoma99@gmail.com](mailto:chaoma99@gmail.com) or [jbhuang1@illinois.edu](mailto:jbhuang1@illinois.edu).
Enjoy!
### Results on visual tracking benchmark
One pass evaluation (OPE) on the 50 tracking sequences in [Wu et al. CVPR 2013](https://sites.google.com/site/trackerbenchmark/benchmarks/v10)
<img src="https://uofi.box.com/shared/static/nqgw4qmce6bxz14z1w00lyz9lqqc2bi1.png" width="360" />
<img src="https://uofi.box.com/shared/static/l0crsgyrf98urmvhjzb7axfhok3txmq5.png" width="360" />
One pass evaluation (OPE) on the 100 tracking sequences in [Wu et al. PAMI 2015](https://sites.google.com/site/benchmarkpami)
<img src="https://uofi.box.com/shared/static/q2ltzbj5faem653xlfpbilm3ylu01ww1.png" width="360" />
<img src="https://uofi.box.com/shared/static/cc4odpxk50mzucapsto6vzcnzl5jmb4g.png" width="360" />