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This survey aims to compile and analyze existing research on 2D human pose estimation techniques from 2010 to 2025.

June 27, 2026ElectronicsOpen Access

Techniques of 2D Human Pose Estimation Based on Computer Vision: A Survey

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This survey aims to compile and analyze existing research on 2D human pose estimation techniques from 2010 to 2025.
Conducted a comprehensive review of literature on 2D human pose estimation.
Analyzed performance in single-person and multi-person scenarios using various algorithms.
Provided a comparative analysis of traditional and modern deep learning architectures, including vision foundation models.
Identified key datasets and evaluation metrics for 2D human pose estimation.
Highlighted challenges and emerging solutions in the field.
Outlined future development trends based on the current state of research.

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Survey reviews 2D human pose estimation techniques, emphasizing deep learning methods and future trends.

Lin et al. (2026) studied this question.

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