Lightweight human pose estimation with attention mechanism

Xiaoshuai Chu; Ruirui Ji; Danyang Dong; Yuzhuo Xi

doi:10.1117/12.2680672

27 June 2023 Lightweight human pose estimation with attention mechanism

Xiaoshuai Chu, Ruirui Ji, Danyang Dong, Yuzhuo Xi

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127050E (2023) https://doi.org/10.1117/12.2680672
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

There are certain inevitable challenges in human pose estimation tasks based on deep learning methods, such as large amount of network parameters and high computational complexity. This paper proposes a lightweight network to reduce the scale of model parameters and computational complexity, meanwhile improve the accuracy of the human pose estimation task. The new method takes the high-resolution networks HRNet-32 as the basic framework and replaces the basic module with the MBConv lightweight module. The attention mechanism is incorporated into the network to model the context information, so as to improve the perception ability and the feature extraction ability of the module and improve the accuracy of human pose estimation. The experimental results on COCO2017 show that the proposed network can detect human key points with high precision even when the amount of parameters is reduced by 56%, which verifies that the proposed method has good lightweight performance.

Citation Download Citation

Xiaoshuai Chu, Ruirui Ji, Danyang Dong, and Yuzhuo Xi "Lightweight human pose estimation with attention mechanism", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127050E (27 June 2023); https://doi.org/10.1117/12.2680672

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
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Convolution

Pose estimation

Performance modeling

Feature extraction

Education and training

Visual process modeling

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years