2016
Action Recognition in Video Using Sparse Coding and Relative Features
CVPR 2016poster
This work presents an approach to category-based action recognition in video using sparse coding techniques. The proposed approach includes two main contributions: i) A new method to handle intra-class variations by decomposing each video into a reduced set of representative atomic action acts or ke…