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
203
Articulated mesh animation from multi-view silhouettes
Daniel Vlasic, Ilya Baran, Wojciech Matusik et al. · ACM Transactions on Graphics · 2008 · 634 citations · Full text
mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs
Arindam Sengupta, Feng Jin, Renyuan Zhang et al. · IEEE Sensors Journal · 2020 · 372 citations · Full text
Joint Angles Similarities and HOG2 for Action Recognition
Eshed Ohn-Bar, Mohan M. Trivedi · 2013 · 333 citations
Evaluating a dancer's performance using kinect-based skeleton tracking
Dimitrios S. Alexiadis, Philip Kelly, Petros Daras et al. · 2011 · 195 citations
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274
Max Planck Institute for Informatics
Saarbrücken, Germany
8 h-index
31 publications
3.4K citations
Centre for Research and Technology Hellas
Thessaloniki, Greece
5 h-index
18 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
17 publications
721 citations
ETH Zurich
Zurich, Switzerland
5 h-index
9 publications
789 citations
Stanford University
Stanford, United States
5 h-index
5 publications
729 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
9 publications
484 citations

City University of Hong Kong
Hong Kong, Hong Kong
4 h-index
9 publications
352 citations
Information Technologies Institute
Thessaloniki, Greece
4 h-index
16 publications
888 citations
1–8 of 274
8 publications · 218 citations
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6 publications · 164 citations
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6 publications · 315 citations
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CVIU · 6 publications · 248 citations
6
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6 publications · 316 citations
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