Combining unsupervised learning and discrimination for 3D action recognition
We deal with recognizing 3D human actions by combining two ideas: unsupervised feature learning and discriminative feature mining. We are the first work to use unsupervised learning to represent 3D depth video data. We propose an ensemble approach with a discriminative multi-kernel learning algorithm to model 3D human actions.
unsupervised learning multi-kernel learning human action recognition depth camera ensemble learning