Human Pose Estimation Algorithm Using Optimized Symmetric Spatial Transformation Network

Authors

Shengqing Lin, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Johor Bahru, Johor 81310, Malaysia | School of Computing and Information Sciences, Fuzhou Institute of Technology, Fuzhou, Fujian, China.Follow
Nor Azizah Ali, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Johor Bahru, Johor 81310, Malaysia.Follow
Azlan bin Mohd Zain, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Johor Bahru, Johor 81310, Malaysia.Follow
Muhalim Mohamed Amin, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Johor Bahru, Johor 81310, Malaysia.Follow

Abstract

Human posture estimation is a crucial topic in the computer vision field and has become a hotspot for research in many human behaviors related work. Human pose estimation can be understood as the human key point recognition and connection problem. The paper presents an optimized symmetric spatial transformation network designed to connect with single-person pose estimation network to propose high-quality human target frames from inaccurate human bounding boxes, and introduces parametric pose non-maximal suppression to eliminate redundant pose estimation, and applies an elimination rule to eliminate similar pose to obtain unique human pose estimation results. The exploratory outcomes demonstrate the way that the proposed technique can precisely recognize the human central issues, really work on the exactness of human posture assessment, and can adjust to the intricate scenes with thick individuals and impediment. Finally, the difficulties and possible future trends are described, and the development of the field is presented.

Keywords

Computer vision; deep learning; human post estimation; key point recognition; symmetric spatial transformation

Article Type

Special Issue Article

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite this Article

Lin, Shengqing; Ali, Nor Azizah; Zain, Azlan bin Mohd; and Amin, Muhalim Mohamed (2024) "Human Pose Estimation Algorithm Using Optimized Symmetric Spatial Transformation Network," Baghdad Science Journal: Vol. 21: Iss. 2, Article 44.
DOI: https://doi.org/10.21123/bsj.2024.9775