Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3487-3491,3497

High resolution network human pose estimation based on multi-scale attention mechanism

Li Li
Zhang Rongfen
Liu Yuhong
Chen Na
Zhang Wenwen
College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0109

Abstract

It is difficult to predict the correct human poses when facing the challenge of the scale change of the feature map in the human pose estimation. To solve this problem, this paper proposed a high-resolution network MSANet(multiscale-attention net) based on multi-scale attention mechanism to improve the detection accuracy of human pose estimation. It introduced lightweight pyramid convolution and attention feature fusion to achieve more efficient extraction of multi-scale information, cited the self-transformer module in the fusion of parallel subnets for feature enhancement to obtain global features. In the output stage, the features of each layer were fused using an adaptive spatial feature fusion strategy as the final output, which more fully obtained the semantic information of high-level features and the fine-grained features of low-level features to infer invisible points and occluded key points. Tested on the public dataset COCO2017, the experimental results show that this method improves the estimation accuracy by 4.2% compared with the basic network HRNet.

Foundation Support

贵州省科学技术基金资助项目(黔科合基础-ZK［2021］重点001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0109
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Technology of Graphic & Image
Pages: 3487-3491,3497
Serial Number: 1001-3695(2022)11-047-3487-05

Publish History

[2022-05-18] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

李丽, 张荣芬, 刘宇红, 等. 基于多尺度注意力机制的高分辨率网络人体姿态估计 [J]. 计算机应用研究, 2022, 39 (11): 3487-3491,3497. (Li Li, Zhang Rongfen, Liu Yuhong, et al. High resolution network human pose estimation based on multi-scale attention mechanism [J]. Application Research of Computers, 2022, 39 (11): 3487-3491,3497. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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