Skeleton Tracking

Skeleton Tracking is a computational method in computer vision that estimates the time-varying configuration of a humanoid robot's articulated body structure by identifying and following the spatial positions of its underlying skeletal joint hierarchy across successive sensor frames.

203

Publications

9.8K

Citations

698

Authors

274

Institutions

Publications per year

2017–2026

94

Variants

Skeletal Tracking

Authors

698

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    5 publications · 697 citations

    5

    h-index

  2. PD
    Petros Daras

    Information Technologies Institute, Greece

    5 publications · 412 citations

    5

    h-index

  3. ED
    Edilson de Aguiar

    Max Planck Institute for Informatics, Germany

    4 publications · 652 citations

    4

    h-index

  4. DS
    Dimitrios S. Alexiadis

    Information Technologies Institute, Greece

    4 publications · 362 citations

    4

    h-index

  5. HS
    Hans‐Peter Seidel

    Max Planck Institute for Informatics, Germany

    4 publications · 486 citations

    4

    h-index

1–5 of 698

Venues

  1. Sensors

    8 publications · 218 citations

    8

    h-index

  2. 6

    h-index

  3. Neurocomputing

    6 publications · 315 citations

    6

    h-index

  4. Computer Vision and Image Understanding

    CVIU · 6 publications · 248 citations

    6

    h-index

  5. Pattern Recognition

    6 publications · 316 citations

    5

    h-index

1–5