ChenFengYe/SportsCap
[IJCV 2021] SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos
This project helps sports analysts, coaches, and researchers accurately analyze complex athletic movements. By taking standard sports video footage, it produces detailed 3D human motion capture data and identifies specific fine-grained actions. The output can be used by anyone studying athletic performance or developing training programs.
140 stars. No commits in the last 6 months.
Use this if you need to precisely capture and understand challenging 3D human motions and fine-grained actions from a single video camera, especially for professional sports.
Not ideal if your primary need is for real-time motion capture in a live setting or if you require interaction with game engines without further integration.
Stars
140
Forks
13
Language
Python
License
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Category
Last pushed
Aug 17, 2021
Commits (30d)
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