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A Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking

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# CMTrack

[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/a-confidence-aware-matching-strategy-for/multi-object-tracking-on-mot17)](https://paperswithcode.com/sota/multi-object-tracking-on-mot17?p=a-confidence-aware-matching-strategy-for) 
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/a-confidence-aware-matching-strategy-for/multi-object-tracking-on-mot20-1)](https://paperswithcode.com/sota/multi-object-tracking-on-mot20-1?p=a-confidence-aware-matching-strategy-for) 
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/a-confidence-aware-matching-strategy-for/multi-object-tracking-on-dancetrack)](https://paperswithcode.com/sota/multi-object-tracking-on-dancetrack?p=a-confidence-aware-matching-strategy-for)

Official code for "A Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking", ICIP, 2024
  - https://ieeexplore.ieee.org/document/10647729

## Environment
Developed in python3.8, pytorch 1.13

## Prepare
**1. Downlodad datasets**
  - MOT17: https://motchallenge.net/data/MOT17.zip
  - MOT20: https://motchallenge.net/data/MOT20.zip
  - DanceTrack: https://dancetrack.github.io/

**2. Locate codes and datasets as below**
```
- code
  - 1. YOLOX
  - 2. GhostReID
  - 3. FastReID
  - 4. CMTrack

- dataset
  - MOT17
  - MOT20
  - DanceTrack
```

**3. Download and properly locate the GT files for the validation sets**
  - [MOT17_val_gt.zip](https://drive.google.com/file/d/1HQvUHv_ng35GhFpFgHXWz-Y4dQlI1sAa/view?usp=drive_link)
  - [MOT20_val_gt.zip](https://drive.google.com/file/d/1b84UkQPKyNG0BHWBLO4eG3QCAXirBCLQ/view?usp=drive_link)

**4. Run**
```
run 1. YOLOX
run 2. GhostReID
run 3. FastReID
run 4. CMTrack
```

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