We propose a new method to quickly and accurately predict human pose — the 3-D positions of body joints — from a single depth image, without depending on information from preceding frames.
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Home → Magazine Archive → January 2013 (Vol. 56, No. 1) → Real-Time Human Pose Recognition in Parts from Single... → Abstract
Real-Time Human Pose Recognition in Parts from Single Depth Images
By Jamie Shotton, Toby Sharp, Alex Kipman, Andrew Fitzgibbon, Mark Finocchio, Andrew Blake, Mat Cook, Richard Moore
Communications of the ACM,
Vol. 56 No. 1, Pages 116-124
10.1145/2398356.2398381
![[article image]](https://cacm.acm.org/system/assets/0001/0127/121912_ensomobile_Real-Time-Human-Pose.large.jpg?1476779471&1355953520 "artist model action pose")
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