Cited By
View all- Bao WNiu TWang NYang X(2023)Pose estimation and motion analysis of ski jumpers based on ECA-HRNetScientific Reports10.1038/s41598-023-32893-x13:1Online publication date: 15-Apr-2023
Human Pose Estimation of Diver Based on Improved Stacked Hourglass Model
Authors: 
Fei Lei, Junyou Yan, Xueli WangAuthors Info & Claims
Fei Lei, Junyou Yan, Xueli WangAuthors Info & ClaimsPages 178 - 182
Abstract
In this paper, a network structure is proposed for the task of single person pose estimation in a complex environment. This method improves the stacked hourglass model, achieves the feature extraction on most scales, and raises the detection accuracy of human key points. In the hourglass module, we use convolution operation to complete the upsampling to get more semantic information. When the responses of the two residual elements are added, we replace the identity mapping in the residual element with the 1×1 convolution element module to improve the phenomenon of variance explosion. We conducted model evaluation experiments on MPII and LSP data sets, and the results showed that the average detection accuracy of key points was improved by 0.2% and 0.8% respectively through our improvement on the stacked hourglass model.
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- Human Pose Estimation of Diver Based on Improved Stacked Hourglass Model
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Published In
December 2019
270 pages
ISBN:9781450376822
DOI:10.1145/3376067
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In-Cooperation
- Shanghai Jiao Tong University: Shanghai Jiao Tong University
- Xidian University
- TU: Tianjin University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 25 February 2020
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ICVIP 2019
ICVIP 2019: 2019 the 3rd International Conference on Video and Image Processing
December 20 - 23, 2019
Shanghai, China
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View all- Bao WNiu TWang NYang X(2023)Pose estimation and motion analysis of ski jumpers based on ECA-HRNetScientific Reports10.1038/s41598-023-32893-x13:1Online publication date: 15-Apr-2023
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