Skeletal Pose Estimation

Skeletal Pose Estimation is a computational method in computer vision that localizes and tracks the spatial configuration of articulated human body joints as a connected set of keypoints representing the underlying skeletal structure.

201

Publications

16.8K

Citations

757

Authors

287

Institutions

Publications per year

2017–2026

122

Authors

757

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    13 publications · 2.5K citations

    13

    h-index

  2. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    7 publications · 2K citations

    7

    h-index

  3. HR
    Helge Rhodin

    University of British Columbia, Canada

    6 publications · 1.5K citations

    6

    h-index

  4. DC
    Dan Casas

    Universidad Rey Juan Carlos, Spain

    6 publications · 1.5K citations

    6

    h-index

  5. VC
    Valentina Camomilla

    Foro Italico University of Rome, Italy

    5 publications · 140 citations

    5

    h-index

1–5 of 757

Venues

  1. Sensors

    11 publications · 371 citations

    11

    h-index

  2. arXiv (Cornell University)

    Repository · 11 publications · 256 citations

    10

    h-index

  3. ACM Transactions on Graphics

    TOG · 7 publications · 2K citations

    7

    h-index

  4. IEEE Transactions on Biomedical Engineering

    5 publications · 639 citations

    5

    h-index

  5. Journal of Biomechanics

    4 publications · 1K citations

    4

    h-index

1–5