MoVi: A large multi-purpose human motion and video dataset.

Large high-quality datasets of human body shape and kinematics lay the foundation for modelling and simulation approaches in computer vision, computer graphics, and biomechanics. Creating datasets that combine naturalistic recordings with high-accuracy data about ground truth body shape and pose is...

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Autores principales:	Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad Kording, Douglas James Cook, Gunnar Blohm, Nikolaus F Troje
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d8c4f389e7d44217bb4c27653f55fac7
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id	oai:doaj.org-article:d8c4f389e7d44217bb4c27653f55fac7
record_format	dspace
spelling	oai:doaj.org-article:d8c4f389e7d44217bb4c27653f55fac72021-12-02T20:10:28ZMoVi: A large multi-purpose human motion and video dataset.1932-620310.1371/journal.pone.0253157https://doaj.org/article/d8c4f389e7d44217bb4c27653f55fac72021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253157https://doaj.org/toc/1932-6203Large high-quality datasets of human body shape and kinematics lay the foundation for modelling and simulation approaches in computer vision, computer graphics, and biomechanics. Creating datasets that combine naturalistic recordings with high-accuracy data about ground truth body shape and pose is challenging because different motion recording systems are either optimized for one or the other. We address this issue in our dataset by using different hardware systems to record partially overlapping information and synchronized data that lend themselves to transfer learning. This multimodal dataset contains 9 hours of optical motion capture data, 17 hours of video data from 4 different points of view recorded by stationary and hand-held cameras, and 6.6 hours of inertial measurement units data recorded from 60 female and 30 male actors performing a collection of 21 everyday actions and sports movements. The processed motion capture data is also available as realistic 3D human meshes. We anticipate use of this dataset for research on human pose estimation, action recognition, motion modelling, gait analysis, and body shape reconstruction.Saeed GhorbaniKimia MahdavianiAnne ThalerKonrad KordingDouglas James CookGunnar BlohmNikolaus F TrojePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253157 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Saeed Ghorbani Kimia Mahdaviani Anne Thaler Konrad Kording Douglas James Cook Gunnar Blohm Nikolaus F Troje MoVi: A large multi-purpose human motion and video dataset.
description	Large high-quality datasets of human body shape and kinematics lay the foundation for modelling and simulation approaches in computer vision, computer graphics, and biomechanics. Creating datasets that combine naturalistic recordings with high-accuracy data about ground truth body shape and pose is challenging because different motion recording systems are either optimized for one or the other. We address this issue in our dataset by using different hardware systems to record partially overlapping information and synchronized data that lend themselves to transfer learning. This multimodal dataset contains 9 hours of optical motion capture data, 17 hours of video data from 4 different points of view recorded by stationary and hand-held cameras, and 6.6 hours of inertial measurement units data recorded from 60 female and 30 male actors performing a collection of 21 everyday actions and sports movements. The processed motion capture data is also available as realistic 3D human meshes. We anticipate use of this dataset for research on human pose estimation, action recognition, motion modelling, gait analysis, and body shape reconstruction.
format	article
author	Saeed Ghorbani Kimia Mahdaviani Anne Thaler Konrad Kording Douglas James Cook Gunnar Blohm Nikolaus F Troje
author_facet	Saeed Ghorbani Kimia Mahdaviani Anne Thaler Konrad Kording Douglas James Cook Gunnar Blohm Nikolaus F Troje
author_sort	Saeed Ghorbani
title	MoVi: A large multi-purpose human motion and video dataset.
title_short	MoVi: A large multi-purpose human motion and video dataset.
title_full	MoVi: A large multi-purpose human motion and video dataset.
title_fullStr	MoVi: A large multi-purpose human motion and video dataset.
title_full_unstemmed	MoVi: A large multi-purpose human motion and video dataset.
title_sort	movi: a large multi-purpose human motion and video dataset.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/d8c4f389e7d44217bb4c27653f55fac7
work_keys_str_mv	AT saeedghorbani movialargemultipurposehumanmotionandvideodataset AT kimiamahdaviani movialargemultipurposehumanmotionandvideodataset AT annethaler movialargemultipurposehumanmotionandvideodataset AT konradkording movialargemultipurposehumanmotionandvideodataset AT douglasjamescook movialargemultipurposehumanmotionandvideodataset AT gunnarblohm movialargemultipurposehumanmotionandvideodataset AT nikolausftroje movialargemultipurposehumanmotionandvideodataset
_version_	1718375028491288576

MoVi: A large multi-purpose human motion and video dataset.

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