Papers › Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry

Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry

21 Jul 2020ECCV 2020 8arXiv:2007.10986archive 2025-07-28

He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian

Epipolar constraints are at the core of feature matching and depth estimation in current multi-person multi-camera 3D human pose estimation methods. Despite the satisfactory performance of this formulation in sparser crowd scenes, its effectiveness is frequently challenged under denser crowd circumstances mainly due to two sources of ambiguity. The first is the mismatch of human joints resulting from the simple cues provided by the Euclidean distances between joints and epipolar lines. The second is the lack of robustness from the naive formulation of the problem as a least squares minimization. In this paper, we depart from the multi-person 3D pose estimation formulation, and instead reformulate it as crowd pose estimation. Our method consists of two key components: a graph model for fast cross-view matching, and a maximum a posteriori (MAP) estimator for the reconstruction of the 3D human poses. We demonstrate the effectiveness and superiority of our proposed method on four benchmark datasets.

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ConnectSkeleton HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/optimization/pose_optimize/visualization.py official repository unverified MIT (permissive) · 65ddecc8839bc2dd · report
CopeOutlier HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/CopingWithOutlier.py official repository unverified MIT (permissive) · 0eaa1b64d88563fa · report
GetP HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/pose_optimize/data_io.py official repository unverified MIT (permissive) · 691c34e127a346aa · report
GetP HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/dataset/all_dataset_para.py official repository unverified MIT (permissive) · b629a5f44308ea9e · report
GetP HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/AccomodateAllWildtrack.py official repository unverified MIT (permissive) · c9bf80b00cefad7a · report
Get_P_from_dataset HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/dataset/all_dataset_para.py official repository unverified MIT (permissive) · 03c8a21158cf4d57 · report
SingularityElimination HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/optimization/pose_optimize/visualization.py official repository unverified MIT (permissive) · a717b2a6a74fbfbd · report
accomoAllWildtrack HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/AccomodateAllWildtrack.py official repository unverified MIT (permissive) · e089676c68bd7bb3 · report
adjustbone HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/CopingWithOutlier.py official repository unverified MIT (permissive) · ca36a642caddd32c · report
cal_kpt_3d_error HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/optimization/pose_optimize/shape_3d_info.py official repository unverified MIT (permissive) · 6a6178c12275df0f · report
collect_param HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/optimization/pose_optimize/shape_3d_info.py official repository unverified MIT (permissive) · d66ef6d74f8ca776 · report
fund_mat HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/pose_optimize/multiview_geo.py official repository unverified MIT (permissive) · 9fd51fe60dbf7bbd · report
get_distance HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/pose_optimize/multiview_geo.py official repository unverified MIT (permissive) · 43064f75359849ed · report
getdistance HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/CopingWithOutlier.py official repository unverified MIT (permissive) · fccc317b29e93215 · report
loss_kpt_3d HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/optimization/pose_optimize/shape_3d_info.py official repository unverified MIT (permissive) · b658b3f10c289cc8 · report
optimze_loss_2d HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/optimization/pose_optimize/optimize_loss.py official repository unverified MIT (permissive) · a8862831867b8557 · report
recover_rti HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/matching/pose_optimize/multiview_geo.py official repository unverified MIT (permissive) · 875f78c1d38d3649 · report
reproject_error_loss HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/optimization/pose_optimize/optimize_loss.py official repository unverified MIT (permissive) · 26c88ce49e08e4a7 · report
reproject_error_loss_score HeCraneChen/3D-Crowd-Pose-Estimation-Based-on-MVG/optimization/pose_optimize/optimize_loss.py official repository unverified MIT (permissive) · db121bc5af461574 · report

Tasks

3D Human Pose Estimation3D Multi-Person Human Pose Estimation3D Multi-Person Pose Estimation3D Pose EstimationDepth EstimationPose Estimation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Multi-Person Pose Estimation Panoptic MVG Average MPJPE (mm) 50 #13 of 20 Archive leaderboard report

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