Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition
We propose a new representation of human actions that is extremely interpretable. We represent a given action as a sequence of the most informative joints (SMIJ). SMIJ is successful at capturing the invariances in different human actions. SMIJ outperforms standard methods for action recognition task from skeletal data. SMIJ is resilient to dataset bias and generalizes well across different datasets.
informative joints human action representation human action recognition bag-of-words linear dynamical systems normalized edit distance cross-database generalization berkeley mhad hdm05 msr action3d