Robust 3D Human Pose Estimation from Single Images or Video Sequences

Published in T-PAMI, 2018

This paper estimate 3D human poses from a monocular image or video. It learns the anthropometric priors of human poses by sparse coding and optimizes simultaneously the camera parameters and 3D poses. It outputs multiple 3D pose estimation for a single subject and proposes to use the temporal information to select the optimal one.

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Minining 3D Key-Pose-Motifs for Action Recognition

Published in CVPR, 2016

This paper mines a set of representative short sequences for each action. A pose sequence is classified by matching the sequence to the motifs of each class. The class achieves the least error is the predicted class. This simple method achieves the state-of-the-art performance on several benchmark dataset.

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