Corpus ID: 210990220

Full-body Performance Capture of Sports from Multi-view Video

  title={Full-body Performance Capture of Sports from Multi-view Video},
  author={Lewis Bridgeman},
  • Lewis Bridgeman
  • Published 2019
  • Full-body human performance capture has been extensively explored in constrained environments, but less attention has been applied to the task of performance capture in sports scenes. Sports datasets provide a wealth of challenges: player contact and occlusion; fast motion; and low resolution and wide-baseline cameras. We present a method that uses multiview pose to disambiguate players and overcome some of these issues. The applications are broad, including player performance analysis, sports… CONTINUE READING

    Figures from this paper.


    Multi-Person 3D Pose Estimation and Tracking in Sports
    • 18
    • PDF
    Towards Accurate Marker-Less Human Shape and Pose Estimation over Time
    • Yinghao Huang
    • Computer Science
    • 2017 International Conference on 3D Vision (3DV)
    • 2017
    • 71
    • PDF
    Learning to Estimate 3D Human Pose and Shape from a Single Color Image
    • 199
    • PDF
    Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
    • 2,522
    • PDF
    Joint Multi-Layer Segmentation and Reconstruction for Free-Viewpoint Video Applications
    • 83
    • PDF