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Continuous human pose estimation by machine learning and computer vision
Huan, Xiaoli Zhou, Hong
Huan, Xiaoli
Zhou, Hong
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2022-12
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Article
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Continuous human pose estimation system,Human pose estimation,Deep learning methods,Machine learning
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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. https://doi.org/10.62704/10057/24820
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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Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2022.
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Association for Industry, Engineering and Management Systems (AIEMS)
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Journal of Management & Engineering Integration
v.15 no.2
v.15 no.2
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1939-7984