Pose Tracking

Pose Tracking is a computational method within the domain of computer vision that extends pose estimation by differentiating itself through the incorporation of temporal consistency to sequentially localize and monitor the spatial configuration of body keypoints across consecutive video frames.

770

Publications

47.9K

Citations

2.2K

Authors

616

Institutions

Publications per year

2017–2026

296

Authors

2.2K

  1. ÉM
    Éric Marchand

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    8 publications · 295 citations

    8

    h-index

  2. FD
    Fadi Dornaika

    University of the Basque Country, Spain

    7 publications · 194 citations

    7

    h-index

  3. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    7 publications · 462 citations

    7

    h-index

  4. AA
    Antonis Argyros

    Foundation for Research and Technology Hellas, Greece

    7 publications · 1.1K citations

    7

    h-index

  5. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    7 publications · 573 citations

    7

    h-index

1–5 of 2.2K

Venues

  1. arXiv (Cornell University)

    Repository · 22 publications · 916 citations

    16

    h-index

  2. IEEE Robotics and Automation Letters

    15 publications · 638 citations

    14

    h-index

  3. Sensors

    14 publications · 712 citations

    13

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 12 publications · 1.8K citations

    12

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 11 publications · 336 citations

    11

    h-index

1–5