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Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS

CVPR 2020 · 3D vision › Human pose estimation · approach: Multi-person pose estimation · 93 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use cross-view tracking with matching directly between 2D detections and retained 3D posesmulti-human 3D pose estimation · CampusPCP average (%): 96.3 -> 96.6Helped
use cross-view tracking with matching directly between 2D detections and retained 3D posesmulti-human 3D pose estimation · ShelfFPS: 9.5 -> 325Helped
remove normalization from incremental triangulation (ablation)incremental 3D reconstruction · CampusPCP whole: 96.6 -> 95.4Hurt
remove normalization from incremental triangulation (ablation)incremental 3D reconstruction · ShelfPCP whole: 96.8 -> 96.9No clear effect
replace incremental triangulation with conventional triangulation (ablation)multi-human 3D pose estimation · CampusPCP whole: 96.6 -> 94.4Hurt
replace incremental triangulation with conventional triangulation (ablation)multi-human 3D pose estimation · ShelfPCP whole: 96.8 -> 94.8Hurt
use only 2D correspondence and remove 3D correspondence (ablation)cross-view tracking affinity · CampusAssociation Accuracy (%): 96.38 -> 45.69Hurt
use only 2D correspondence and remove 3D correspondence (ablation)cross-view tracking affinity · CampusPCP (%): 96.63 -> 62.29Hurt
use only 3D correspondence and remove 2D correspondence (ablation)cross-view tracking affinity · CampusAssociation Accuracy (%): 96.38 -> 96.38No clear effect
use only 3D correspondence and remove 2D correspondence (ablation)cross-view tracking affinity · CampusPCP (%): 96.63 -> 96.49No clear effect
add 3D correspondence to 2D-only affinity (ablation)cross-view tracking affinity · CampusAssociation Accuracy (%): 45.69 -> 96.22Helped
match in 3-space rather than pairwise in camera coordinates (ablation)cross-view human association · Campus Camera3association accuracy: 32%, 5.2%, 9.2%, 4.6%Helped

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