mlsanityData to 14 Oct 2026

A Review on Human Pose Estimation

arXiv 2110.06877 ↗First posted 13 Oct 2021cs.CVcited by 1

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Abstract (arXiv)

The phenomenon of Human Pose Estimation (HPE) is a problem that has been explored over the years, particularly in computer vision. But what exactly is it? To answer this, the concept of a pose must first be understood. Pose can be defined as the arrangement of human joints in a specific manner. Therefore, we can define the problem of Human Pose Estimation as the localization of human joints or predefined landmarks in images and videos. There are several types of pose estimation, including body, face, and hand, as well as many aspects to it. This paper will cover them, starting with the classical approaches to HPE to the Deep Learning based models.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 27 of its 55 references that are in the map. First posted on arXiv 13 Oct 2021.

Builds on

27 of 55 references.

References · 27

  1. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
  2. 2017How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)cited by 525
  3. 20183D human pose estimation in video with temporal convolutions and semi-supervised trainingcited by 403
  4. 2016Convolutional Pose Machinescited by 325
  5. 2017Learning to Estimate 3D Hand Pose from Single RGB Imagescited by 234
  6. 2019High-Resolution Representations for Labeling Pixels and Regionscited by 211
  7. 2020Whole-Body Human Pose Estimation in the Wildcited by 178
  8. 2017PoseTrack: A Benchmark for Human Pose Estimation and Trackingcited by 173
  9. 2017GANerated Hands for Real-time 3D Hand Tracking from Monocular RGBcited by 147
  10. 2018Look at Boundary: A Boundary-Aware Face Alignment Algorithmcited by 138
  11. 2019Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Imagecited by 132
  12. 2019Monocular 3D Human Pose Estimation by Generation and Ordinal Rankingcited by 76
15 more
  1. 2017Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Imagecited by 73
  2. 2017Detect-and-Track: Efficient Pose Estimation in Videoscited by 51
  3. 2017BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysiscited by 46
  4. 2018Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPosecited by 42
  5. 2020MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimationcited by 35
  6. 2018Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fieldscited by 32
  7. 20183D Human Pose Estimation with 2D Marginal Heatmapscited by 20
  8. 2021Fast Facial Landmark Detection and Applications: A Surveycited by 18
  9. 2020Active Learning for Bayesian 3D Hand Pose Estimationcited by 13
  10. 2020Nonparametric Structure Regularization Machine for 2D Hand Pose Estimationcited by 12
  11. 2020Attention! A Lightweight 2D Hand Pose Estimation Approachcited by 9
  12. 2019Hand Pose Estimation: A Surveycited by 8
  13. 2020HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimationcited by 6
  14. 2015Rule Of Thumb: Deep derotation for improved fingertip detectioncited by 5
  15. 2019Multi-view consensus CNN for 3D facial landmark placementcited by 5

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