Survey of top-down approaches for human pose estimation

Survey of top-down approaches for human pose estimation

A survey of top-down approaches for human pose estimation

arXiv paper abstract https://arxiv.org/abs/2202.02656v1

arXiv PDF paper https://arxiv.org/pdf/2202.02656v1.pdf

Human pose estimation in two-dimensional images videos has ... applications for ... behaviors recognition, motion capture and augmented reality, training robots, and movement tracking.

... the two-step framework (top-down approach) ... first incorporates a person detector and then estimates the pose within each box independently

... paper aims to provide newcomers with an extensive review of deep learning methods-based 2D images for recognizing the pose of people, which only focuses on top-down approaches since 2016.

... presents significant detectors and estimators depending on mathematical background, the challenges and limitations, benchmark datasets, evaluation metrics, and comparison between methods.

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