Spatio-temporal feature extraction and representation for RGB-D human action recognition.

•A sparse coding based framework is proposed for human action recognition.•The proposed CS-Mltp descriptor performs better than other descriptors on RGB videos.•The proposed framework significantly outperforms the state-of-the-art algorithms.•The feature- and classifier-level fusions of color and depth information are explored.