TotalCapture
Introduced by Trumble et al. in Total capture: 3D human pose estimation fusing video and inertial sensors
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 CamerasBenchmarks
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Total Capture
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AdaFuse
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Total Capture
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GeoFuse
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Papers
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