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Kaggle NFL Health & Safety - Helmet Assignment 64th/833

Thanks for the contribution of my teammates @AlvinAi96 and @Leonrain-Liu. For more information, please visit 复盘总结

Competition introduction

  • competition link: NFL Health & Safety - Helmet Assignment
  • competition dataset: Dataset
  • competition task: In this competition, you’ll identify and assign football players’ helmets from video footage. In particular, you'll create algorithms capable of assigning detected helmet impacts to correct players via tracking information.

Dependence

$ pip install easydict
$ sudo apt-get install ffmpeg

Idea and contributions

  • A frame edge cropping method to remove the interference of the players and spectators outside the court
  • Camera position prediction methods
    • Sideline camera position prediction by rotating mapping on the original and another-side ngs tracking
    • Endzone camera position prediction by Jersey number plate recognition with OCR
  • X/Y axis rotating mapping selection
  • Dual deepsort trackers on helmets and players fusion strategy

Results

  • Sideline camera position: correct 59/60 total videos
  • Endzone camera position: correct 51/60 total videos
  • XY mapping 24 validation videos: 0.23
  • deepsort postprocessing and fusion: 0.529

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