Continuous human pose estimation by machine learning and computer vision

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Issue Date
2022-12
Embargo End Date
Authors
Huan, Xiaoli
Zhou, Hong
Advisor
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.

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Description
Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2022.
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