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TotalCapture

Introduced by Matthew Trumble et al. in Total capture: 3D human pose estimation fusing video and inertial sensors1 Jan 2017 archive 2025-07-28

The TotalCapture dataset consists of 5 subjects performing several activities such as walking, acting, a range of motion sequence (ROM) and freestyle motions, which are recorded using 8 calibrated, static HD RGB cameras and 13 IMUs attached to head, sternum, waist, upper arms, lower arms, upper legs, lower legs and feet, however the IMU data is not required for our experiments. The dataset has publicly released foreground mattes and RGB images. Ground-truth poses are obtained using a marker-based motion capture system, with the markers are <5mm in size. All data is synchronised and operates at a framerate of 60Hz, providing ground truth poses as joint positions.

Source: Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras Image Source: https://cvssp.org/data/totalcapture/

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
3D Human Pose Estimation Total Capture AdaFuse Average MPJPE (mm) 19.2 AdaFuse: Adaptive Multiview Fusion for Accurate Human... zhezh/adafuse-3d-human-pose +1 14 Compare
3D Absolute Human Pose Estimation Total Capture GeoFuse MPJPE 24.6 Fusing Wearable IMUs with Multi-View Images for Human... CHUNYUWANG/imu-human-pose-pytorch 1 Compare

Papers archive 2025-07-28

11 shown of 11 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 57. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation 0 1 25 Aug 2022 not harvested
Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation 0 1 11 Oct 2021 not harvested
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild 2 1 26 Oct 2020 ran 3 of 3 samples (0 unverified; 3 pointer-only for licence)
Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation 0 1 5 Apr 2020 not harvested
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach 1 2 25 Mar 2020 ran 3 of 3 samples (0 unverified)
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image 0 2 9 Dec 2019 not harvested
Cross View Fusion for 3D Human Pose Estimation 1 2 3 Sep 2019 ran 1 of 1 samples (0 unverified)
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling 0 1 4 Jul 2018 not harvested
3D Human Pose Estimation in RGBD Images for Robotic Task Learning 1 1 7 Mar 2018 not harvested
Total capture: 3D human pose estimation fusing video and inertial sensors 0 2 4 Sep 2017 not harvested
Convolutional Pose Machines 50 1 30 Jan 2016 ran 1 of 4 samples (3 unverified; 3 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Pose Estimation3D Human Pose Estimation3D Absolute Human Pose Estimation

License archive 2025-07-28

Custom (research-only, non-commercial, attribution)

Modalities archive 2025-07-28

ImagesVideos3D

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Total Capture
  • TotalCapture

2 variant names, as the archive lists them.

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