An improved human pose estimation model based on DEKR

Jiarui Luo; Peng Han; Jian Qiu; Dongmei Liu; Miao Chen; Kaiqing Luo

doi:10.1117/12.3026371

27 March 2024 An improved human pose estimation model based on DEKR

Jiarui Luo, Peng Han, Jian Qiu, Dongmei Liu, Miao Chen, Kaiqing Luo

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131052U (2024) https://doi.org/10.1117/12.3026371
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

Human pose estimation in crowded scenes has always been a challenging task in bottom-up multi-person pose estimation. To improve the accuracy of pose estimation in dense crowds, we propose an improved bottom-up human pose estimation model called H-DEKR, which is based on Disentangled Keypoint Regression for Bottom-Up Human Pose Estimation (DEKR). The model first enhances the coarse/fine-grained feature extraction abilities of the backbone (HRNet) by introducing different structures of Polarized Self-attention (PSA). Then, Pyramid Convolution (PyConv) is introduced to extract multi-scale information, alleviating the problem of uneven human scales. Results show that our model based on HRNet-W32 achieves accuracy of 67.1% on the CrowdPose dataset, which is 1.4% higher than the DEKR, respectively. Therefore, the proposed model in this paper is able to improve the accuracy of human pose estimation in dense crowds.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiarui Luo, Peng Han, Jian Qiu, Dongmei Liu, Miao Chen, and Kaiqing Luo "An improved human pose estimation model based on DEKR", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131052U (27 March 2024); https://doi.org/10.1117/12.3026371

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

Feature extraction

Education and training

Data modeling

Statistical modeling

Ablation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years