Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model

Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model

Human pose estimation has drawn extensive attention recently and there has been significant progress on it due to the rising popularity of convolutional neural networks (CNN). However, existing state-of-the-art approaches suffer from occlusion, complicated backgrounds, and substantial position fluct...

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Bibliographic Details
Main Authors: Shuhena Salam Aonty, Kaushik Deb, Moumita Sen Sarma, Pranab Kumar Dhar, Tetsuya Shimamura
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Pose estimation
convolutional neural network
occlusion
bottom-up parsing
skeletal keypoint
Online Access:https://ieeexplore.ieee.org/document/10110984/

Internet

https://ieeexplore.ieee.org/document/10110984/

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