Traffic-Brain

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AI City2019 all the Track Code

Traffic-Brain 최신버젼 다운로드

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# Multi-Camera Vehicle Tracking with Powerful Visual Features and Spatial-Temporal Cue
[PDF Download](http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/He_Multi-Camera_Vehicle_Tracking_with_Powerful_Visual_Features_and_Spatial-Temporal_Cue_CVPRW_2019_paper.pdf)
This repository contains our source code of Track1 and Track2 in the NVIDIA AI City Challenge at CVPR 2019 Workshop.

## Authors
- [Zhiqun He]
- [Yu Lei]
- [Shuai Bai]
- [Wei Wu]

### Introduction
Detailed information of NVIDIA AICity Challenge 2019 can be found [here](https://www.aicitychallenge.org/).
![overview](https://raw.githubusercontent.com/he010103/Traffic-Brain/master/images/framework.jpeg)
The overall design of our algorithm, which consists of MTSC module, similarity matrix calculating module and clustering module.

### Citation
If you find [**Our Work**](http://openaccess.thecvf.com/content_CVPRW_2019/papers/AI%20City/He_Multi-Camera_Vehicle_Tracking_with_Powerful_Visual_Features_and_Spatial-Temporal_Cue_CVPRW_2019_paper.pdf) useful in your research, please consider citing:
```
@inproceedings{he2019multi,
  title={Multi-Camera Vehicle Tracking with Powerful Visual Features and Spatial-Temporal Cue},
  author={He, Zhiqun and Lei, Yu and Bai, Shuai and Wu, Wei},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={203--212},
  year={2019}
}
```

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