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.