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MDP_Tracking

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Learning to Track: Online Multi-Object Tracking by Decision Making

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# Learning to Track: Online Multi-Object Tracking by Decision Making

Created by Yu Xiang at CVGL, Stanford University.

### Introduction

**MDP_Tracking** is a online multi-object tracking framework based on Markov Decision Processes (MDPs).

http://cvgl.stanford.edu/projects/MDP_tracking/

### License

MDP_Tracking is released under the MIT License (refer to the LICENSE file for details).

### Citation

If you find MDP_Tracking useful in your research, please consider citing:

@inproceedings{xiang2015learning,
        Author = {Xiang, Yu and Alahi, Alexandre and Savarese, Silvio},
        Title = {Learning to Track: Online Multi-Object Tracking by Decision Making},
        Booktitle = {International Conference on Computer Vision (ICCV)},
        Year = {2015}
    }

### Usage on the 2D MOT benchmark

1. Download the 2D MOT benchmark (data and development kit) from https://motchallenge.net/data/2D_MOT_2015/

2. Set the path of the MOT dataset in global.m

3. Run compile.m. OpenCV is needed.

4. For validataion, use MOT_cross_validation.m

5. For testing, use MOT_test.m

We provide our own detection using SubCNN [1] on the 2D MOT 2015 dataset [here](https://drive.google.com/open?id=0B4WdmTHU8V7VeVlISVhMNjQ3N1k).

Important: make sure libsvm-3.20 in the 3rd_party directory is used. Other versions of libsvm may not be compatible with the code.

### Usage on the KITTI tracking dataset

1. Download the KITTI tracking benchmark (data, development kit and detections) from http://www.cvlibs.net/datasets/kitti/eval_tracking.php

2. Check out the kitti branch
    ```Shell
    git checkout kitti
    ```

3. Set the path of the KITTI tracking dataset in global.m

4. Run compile.m. OpenCV is needed.

5. For validataion, use KITTI_cross_validation.m

6. For testing, use KITTI_test.m

We provide our own detection using SubCNN [1] on the KITTI tracking dataset [here](https://drive.google.com/open?id=0B4WdmTHU8V7Vd29GeFBqdl9yQXM).

### References

[1] Y. Xiang, W. Choi, Y. Lin and S. Savarese. Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.

### Contact

If you find any bug or issue of the software, please contact yuxiang at umich dot edu

MDP_Tracking

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