Title of article
Feature extraction for RGB-D cameras
Author/Authors
Jumaa Abd Ali, Reeman Electronic and Communication Engineering Department - University of Baghdad, Baghdad, Iraq , Almamori, Aqiel Electronic and Communication Engineering Department - University of Baghdad, Baghdad, Iraq
Pages
5
From page
3991
To page
3995
Abstract
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.
Keywords
RGB-D cameras , RGB image , benchmarked
Journal title
International Journal of Nonlinear Analysis and Applications
Serial Year
2022
Record number
2714489
Link To Document