# VisualTracking-Toolkit

**Repository Path**: astoncmatin/VisualTracking-Toolkit

## Basic Information

- **Project Name**: VisualTracking-Toolkit
- **Description**: Powerful visualization tool (still under development)
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-07-29
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# VisualTracking-Toolkit


## Hyper-parameter Search (grid search)


### OTB


### VOT




## Visualization

### OTB

#### The tracking speed and AUC performance on OTB-2013. [[code]](code/speed_vs_auc_otb2013.m)
<p align="center">
    <a>
        <img src="img/speed_vs_auc_otb2013.png" width="480">
    </a>
</p>


### VOT

#### Expected average overlap plot on VOT2016. [[code]](code/eao_rank_vot2016.m)
<p align="center">
    <a>
        <img src="img/eao_rank_vot2016.png" width="480">
    </a>
</p>


#### Expected averaged overlap performance on different visual attributes. [[code]](code/attr_eao_vot2016.m)
<p align="center">
    <a>
        <img src="img/attr_eao_vot2016.png" width="480">
    </a>
</p>


### Heatmaps

#### Learning Spatially Regularized Correlation Filters for Visual Tracking. [[code]](code/SRDCF/SRDCF.m)
<p align="center">
    <a>
        <img src="code/SRDCF/SRDCF.png" width="480">
    </a>
</p>


## Network

#### Fully Convolutional Networks for Semantic Segmentation [[code]](code/FCN/FCN.tex)
<p align="center">
    <a>
        <img src="code/FCN/FCN.png" width="480">
    </a>
</p>

#### Understanding LSTM Networks [[code]](code/LSTM/LSTM.tex)
<p align="center">
    <a>
        <img src="code/LSTM/LSTM.png" width="640">
    </a>
</p>

#### Real-Time Neural Style Transfer for Videos [[code]](code/StyleTransfer/StyleTransfer.tex)
<p align="center">
    <a>
        <img src="code/StyleTransfer/StyleTransfer.png" width="640">
    </a>
</p>

#### BlockQNN [[code]](code/BlockQNN/BlockQNN.tex)

<p align="center">
    <a>
        <img src="code/BlockQNN/BlockQNN.png" width="320">
    </a>
</p>