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Advancements in Human Pose Estimation: A Review of Key Studies and Findings till 2024

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Significant progress in human pose estimation has been achieved, enhancing accuracy and efficiency.
The review synthesizes findings from over 120 papers on various methods including deep learning and transformers.
Challenges remain in complex scenarios like multiple person detection and occlusion issues outdoors.
Future research should target improving real-time applications and the robustness of pose estimation systems.

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Literature review reveals advances in human pose estimation methods and challenges in applications.

Özbalkan et al. (2025) studied this question.

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