Integrating Complementary Appearance, Posture and Motion Cues for RGB-D Action Recognition
Integrating Complementary Appearance, Posture and Motion Cues for RGB-D Action Recognition is a scholarly work, published in 2018 in ''International Journal on Artificial Intelligence Tools''. The main subjects of the publication include classifier, RGB color model, motion capture, optical flow, artificial intelligence, feature extraction, computer science, computer vision, motion, feature, gait analysis, activity recognition, pattern recognition, gesture recognition, and trajectory. This work presents a novel approach to multimodal human action recognition by jointly using visual RGB and depth (including skeleton joint positions) data captured from depth camera.