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Deep Learning-Based Human Pose Estimation: A Survey PDF

25 Pages·2021·English
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by ['carmi98']| 2021| 25 pages| English

About Deep Learning-Based Human Pose Estimation: A Survey

This document provides a survey of recent deep learning-based approaches for human pose estimation from images and videos. It reviews over 240 research papers published since 2014 on 2D and 3D pose estimation. For 2D pose estimation, high performance has been achieved but challenges remain including occlusion and limited training data. For 3D pose estimation, depth ambiguity is a key challenge, especially when using only single-view RGB images. The survey provides a comprehensive analysis and comparison of different deep learning methods for both 2D and 3D pose estimation, along with discussions of popular datasets, evaluation metrics, challenges, applications and future directions.

Detailed Information

Author:['carmi98']
Publication Year:2021
Pages:25
Language:English
Format:PDF
Price:FREE
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