Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025

Uğur Özbalkan; Özgür Can Turna

doi:10.21541/apjess.1588025

Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025

Abstract

This paper presents an in-depth literature review that comprehensively covers the major developments, methods, architectures and datasets used in the field of human pose prediction up to 2025. The review covers a broad spectrum, starting with traditional methods, deep learning-based techniques, convolutional neural networks, graph-based approaches and more recently prominent transformer-based models. In addition to two-dimensional (2D) and three-dimensional (3D) human pose estimation methods, the paper analyses in detail the diversity of data sets, applications of Microsoft Kinect technology, real-time pose estimation systems and related architectural designs. Overall, the review of more than 120 papers shows that existing systems have made significant progress in terms of accuracy, computational efficiency and practical applications, but that there are still some challenges to overcome in complex scenarios such as multiple person detection, occlusion problems and outdoor environments. This in-depth analysis highlights current trends in the field, future research directions and potential applications.

Keywords

References

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Details

Primary Language

English

Subjects

Machine Vision , Machine Learning Algorithms, Classification Algorithms

Journal Section

Review

Authors

Uğur Özbalkan
0000-0003-0440-5390
Türkiye

Özgür Can Turna ^*
0000-0001-5195-8727
Türkiye

Early Pub Date

September 30, 2025

Publication Date

September 30, 2025

Submission Date

November 20, 2024

Acceptance Date

June 28, 2025

Published in Issue

Year 2025 Volume: 13 Number: 3

DOI

https://doi.org/10.21541/apjess.1588025

IZ

https://izlik.org/JA54JE85MZ

Cite

RIS / Bibtex

APA

Özbalkan, U., & Turna, Ö. C. (2025). Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025. Academic Platform Journal of Engineering and Smart Systems, 13(3), 94-107. https://doi.org/10.21541/apjess.1588025

AMA

1.Özbalkan U, Turna ÖC. Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025. APJESS. 2025;13(3):94-107. doi:10.21541/apjess.1588025

Chicago

Özbalkan, Uğur, and Özgür Can Turna. 2025. “Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025”. Academic Platform Journal of Engineering and Smart Systems 13 (3): 94-107. https://doi.org/10.21541/apjess.1588025.

EndNote

Özbalkan U, Turna ÖC (September 1, 2025) Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025. Academic Platform Journal of Engineering and Smart Systems 13 3 94–107.

IEEE

[1]U. Özbalkan and Ö. C. Turna, “Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025”, APJESS, vol. 13, no. 3, pp. 94–107, Sept. 2025, doi: 10.21541/apjess.1588025.

ISNAD

Özbalkan, Uğur - Turna, Özgür Can. “Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025”. Academic Platform Journal of Engineering and Smart Systems 13/3 (September 1, 2025): 94-107. https://doi.org/10.21541/apjess.1588025.

JAMA

1.Özbalkan U, Turna ÖC. Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025. APJESS. 2025;13:94–107.

MLA

Özbalkan, Uğur, and Özgür Can Turna. “Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025”. Academic Platform Journal of Engineering and Smart Systems, vol. 13, no. 3, Sept. 2025, pp. 94-107, doi:10.21541/apjess.1588025.

Vancouver

1.Uğur Özbalkan, Özgür Can Turna. Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2025. APJESS. 2025 Sep. 1;13(3):94-107. doi:10.21541/apjess.1588025