SMS-Net: Bridging the Gap Between High Accuracy and Low Computational Cost in Pose Estimation

SMS-Net: Bridging the Gap Between High Accuracy and Low Computational Cost in Pose Estimation

Human pose estimation identifies and classifies key joints of the human body in images or videos. Existing pose estimation methods can precisely capture human movements in real time but require significant computational time and resources, which restricts their usage in specific conditions. Thus, we...

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Bibliographic Details
Main Authors: Won-Jun Noh, Ki-Ryum Moon, Byoung-Dai Lee
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
computer vision
deep learning
feature extraction
human pose estimation
internet of things
lightweight models
Online Access:https://www.mdpi.com/2076-3417/14/22/10143
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