mlsanityData to 14 Oct 2026

Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views

arXiv 2101.09745 ↗First posted 24 Jan 2021cs.CVcited by 9

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Abstract (arXiv)

In this work we propose an approach for estimating 3D human poses of multiple people from a set of calibrated cameras. Estimating 3D human poses from multiple views has several compelling properties: human poses are estimated within a global coordinate space and multiple cameras provide an extended field of view which helps in resolving ambiguities, occlusions and motion blur. Our approach builds upon a real-time 2D multi-person pose estimation system and greedily solves the association problem between multiple views. We utilize bipartite matching to track multiple people over multiple frames. This proofs to be especially efficient as problems associated with greedy matching such as occlusion can be easily resolved in 3D. Our approach achieves state-of-the-art results on popular benchmarks and may serve as a baseline for future work.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 20 of its 41 references that are in the map. First posted on arXiv 24 Jan 2021.

Builds on

20 of 41 references.

References · 20

  1. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
  2. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 915
  3. 2018Simple Baselines for Human Pose Estimation and Trackingcited by 502
  4. 2016Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervisioncited by 494
  5. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  6. 2017Cascaded Pyramid Network for Multi-Person Pose Estimationcited by 341
  7. 2016Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Posecited by 221
  8. 2016Associative Embedding: End-to-End Learning for Joint Detection and Groupingcited by 212
  9. 2017Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBcited by 195
  10. 2018Hand Pose Estimation via Latent 2.5D Heatmap Regressioncited by 111
  11. 2016DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Modelcited by 96
  12. 2018LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Imagescited by 88
8 more
  1. 2017Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Imagecited by 73
  2. 2018Learning Monocular 3D Human Pose Estimation from Multi-view Imagescited by 70
  3. 2017Harvesting Multiple Views for Marker-less 3D Human Pose Annotationscited by 48
  4. 2018MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Networkcited by 47
  5. 2016PoseTrack: Joint Multi-Person Pose Estimation and Trackingcited by 44
  6. 2018Multi-Domain Pose Network for Multi-Person Pose Estimation and Trackingcited by 21
  7. 2018Learning to Refine Human Pose Estimationcited by 19
  8. 2017A Dual-Source Approach for 3D Human Pose Estimation from a Single Imagecited by 7

Built on by

Cited by year

Citing papers per year: 2021: 3; 2022: 2; 2023: 1; 2024: 1; 2025: 2.

9 papers.

  1. 2021VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wildcited by 39
  2. 2021Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensorscited by 16
  3. 2021Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Trackingcited by 12
  4. 2022Online Marker-free Extrinsic Camera Calibration using Person Keypoint Detectionscited by 6
  5. 20223D Semantic Scene Perception using Distributed Smart Edge Sensorscited by 5
  6. 2024VoxelKeypointFusion: Generalizable Multi-View Multi-Person Pose Estimationcited by 3
  7. 2025RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecondcited by 2
  8. 2025SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Imagescited by 1
  9. 2023E3Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimationcited by 0