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# System prepended metadata

title: Soccer Project

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# Soccer Project Meeting #1

### Introduction
- We want to apply computer vision to soccer so that we can gain more insights during the game or make it more convenient.
- We have received an oral investment commitment from Fitness Factory (健身工廠) in collaboration with [Kaohsiung Sunny (高雄陽信女子足球隊)](http://sunny-women.tw/)

### What we probably can get
- Experience
    - Deal with real-world problem
- Resorces
    - Hardware devices
    - Cloud
    - ...
- And maybe we can make a product！


### What we have done
- [Demo Video](https://youtu.be/3QqCJYJVqGs)
- [Github](https://github.com/VictorChen1111/Player-and-Ball-Trajectory-Analysis-for-Soccer-Game)

### Relevent Information
- [Football Games Analysis from video stream with Machine Learning](https://towardsdatascience.com/football-games-analysis-from-video-stream-with-machine-learning-745e62b36295)
- [How to track football players using Yolo, SORT and Opencv.](https://towardsdatascience.com/how-to-track-football-players-using-yolo-sort-and-opencv-6c58f71120b8)
- [Football analysis using machine learning and
computer vision](https://www.diva-portal.org/smash/get/diva2:1564455/FULLTEXT01.pdf#page31)
- [Track Football Players with Computer Vision](https://blog.roboflow.com/track-football-players/)

### Competing products
- [Veo](https://www.youtube.com/watch?v=MLo4I-b96wA&ab_channel=Veo)
- [Track160](https://www.youtube.com/watch?v=5XlYhKGCn_g&ab_channel=BeachsideSoccerClubofCT)

### What we are going to do
* Framework for Collaboration
* We can do: 
    * Input Picture
        * Image Stitching
    * Detection
        * Player
        * Ball
        * Jersey number (for re_ID)
    * Tracking
    * Event Detection (shooting, corner, etc)
    * Perspective Transform 
    
### Next Step
- Sprint Goal
    - Determine the event and then cut the clip accordingly
    - ...

### Next meeting
- 討論
    - 如何協作
    - 短期目標
- 自己想做的東西
    - 可行方法
- 可以花的時間