# 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