Continuous human pose estimation by machine learning and computer vision
Citation
Huan, X., Zhou, H. (2022). Continuous human pose estimation by machine learning and computer vision. Journal of Management & Engineering Integration, 15(2), 10-16.
Abstract
Pose estimation is an important topic that has drawn significant attention from the computer vision community (Luo, Wang, Wong, & Cheng, 2020). The main task is to identify and track the pose of a person in an image or video. It can also be thought of as solving the problem of determining a set of coordinates that describe the person's pose.
Description
Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2022.