Machine Learning for Sport Pose Analysis
Pose Estimation
Sport Pose Analysis
- Badminton Pose Analysis
- Action Dataset (Tennis and Badminton)
- Ref-1
- Ref-2
- Ref-3
- Ref-4
- Ref-5
- Ref-6
- Ref-7
- Ref-8
Pose Estimation
Methods
- HRNet
- OpenPose
- HigherHRNet
- Smiple Baselines
- Alphapose
- Densepose
- Personlab
Datasets
- COCO (Common Objects in Context)
- Benchmark; Images from Flickr
- MPII Human Pose (body_25)
- 25k images, 40k people, 401 human activities, extracted from YouTube videos
- Leeds Sports Pose
- 2k images of mostly Sports from Flickr
- Frames Labeled in Cinema (FLIC)
- 5003 Images from movies labeled by Amazon Mechanical Turk
- FLIC Plus by Jon Tompson
- Human3.6M
- 3D Single Person
- HumanEva
- 7 videos with 3D body poses, 4 subjects, 6 common actions
- SURREAL
- 6m frames of Synthetic Humans
- Panoptic
- Basketball Pose Analysis