Human pose estimation based on intra-level feature fusion

Guanting Liu; Tao Song; Yan Zhao; Ziqin Wang; Ying Xing

doi:10.1117/12.2656600

20 October 2022 Human pose estimation based on intra-level feature fusion

Guanting Liu, Tao Song, Yan Zhao, Ziqin Wang, Ying Xing

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124512N (2022) https://doi.org/10.1117/12.2656600
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

To improve the low estimation accuracy and poor robustness of invisible human joints in 2D human pose estimation in computer vision, a convolutional network based on intra-layer feature fusion is proposed to improve the estimation accuracy. Firstly, the convolutional block based on intra-layer feature fusion is proposed to obtain abundant local features and reduce the influence of local information loss. Secondly, intermediate supervision is introduced to reduce the influence of vanishing gradient in deep neural network. Finally, several proposed convolutional blocks form the neural network in cascade, through continuous Up-Sampling and Down-Sampling operations, convolutional blocks obtain local information from images with different resolutions and have the information fully fused, the local information after fusing can establish the connection between joints and accurately estimate the joints. The proposed neural network achieves first-class results on standard benchmark including the LSP dataset and its extended dataset.

Citation Download Citation

Guanting Liu, Tao Song, Yan Zhao, Ziqin Wang, and Ying Xing "Human pose estimation based on intra-level feature fusion", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124512N (20 October 2022); https://doi.org/10.1117/12.2656600

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image fusion

Neural networks

Computer vision technology

Machine vision

Convolution

Convolutional neural networks

Head

Show All Keywords

Keywords/Phrases

Search In:

Publication Years