Coupled hidden conditional random fields for RGB-D human action recognition
We propose cHCRF to learn sequence-specific and sequence-shared temporal structure. We contribute a novel RGB-D human action dataset containing 1200 samples. Experiments on 3 popular datasets show the superiority of the proposed method.
coupled hidden conditional random fields human action recognition multimodal temporal context