Feature extraction for RGB-D cameras

Document Type : Research Paper


Electronic and Communication Engineering Department, University of Baghdad, Baghdad, Iraq


A proposed feature extraction method for RGB-D cameras is developed.  The proposed method for feature extraction is based on a Histogram of oriented gradient HOG which is used to extract the features of RGB image alongside with Histogram of oriented depth HOD which extracts the depth features to find a new different feature vector that is better describe the image. The new feature extraction method is benchmarked by human action recognition of pause images and shows better performance than HOG and HOD.