diff --git a/g1/ACCAD/citation.bib b/g1/ACCAD/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..665ffda6b45448963b5bec6faf519c58ee118b28 --- /dev/null +++ b/g1/ACCAD/citation.bib @@ -0,0 +1,5 @@ +@misc{AMASS_ACCAD, + title = {{ACCAD MoCap Dataset}}, + author = {{Advanced Computing Center for the Arts and Design}}, + url = {https://accad.osu.edu/research/motion-lab/mocap-system-and-data} +} \ No newline at end of file diff --git a/g1/ACCAD/license.txt b/g1/ACCAD/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fe5f76006d5b7137d02c0427b1e32a6582f311b --- /dev/null +++ b/g1/ACCAD/license.txt @@ -0,0 +1,10 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: + +@misc{AMASS_ACCAD, + title = {{ACCAD MoCap Dataset}}, + author = {{Advanced Computing Center for the Arts and Design}}, + url = {https://accad.osu.edu/research/motion-lab/mocap-system-and-data} +} +License + +https://creativecommons.org/licenses/by/3.0/ \ No newline at end of file diff --git a/g1/BioMotionLab_NTroje/citation.bib b/g1/BioMotionLab_NTroje/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..8f9f2956ca173ad1988bebffe17e23ba70ae4ae0 --- /dev/null +++ b/g1/BioMotionLab_NTroje/citation.bib @@ -0,0 +1,12 @@ +@article{AMASS_BMLrub, + title = {Decomposing Biological Motion: {A} Framework for Analysis and Synthesis of Human Gait Patterns}, + author = {Troje, Nikolaus F.}, + year = 2002, + month = sep, + journal = {Journal of Vision}, + volume = 2, + number = 5, + pages = {2--2}, + doi = {10.1167/2.5.2}, + month_numeric = 9 +} \ No newline at end of file diff --git a/g1/BioMotionLab_NTroje/license.txt b/g1/BioMotionLab_NTroje/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..fddcfeaef806133391aa8bf930dcf2f418271fa3 --- /dev/null +++ b/g1/BioMotionLab_NTroje/license.txt @@ -0,0 +1,32 @@ +Data License +For non-commercial and scientfc research purposes + +Please read carefully the following terms and conditons and any accompanying documentaton before you download and/or use the BMLrub data (the "Data"). By downloading and/or using the Data, you acknowledge that you have read these terms and conditons, understand them, and agree to be bound by them. If you do not agree with these terms and conditons, you must not download and/or use the Data. + +Ownership +The Data has been developed at the BioMoton Lab in 2002 when it was hosted by the Ruhr University Bochum and was funded by the Volkswagen Foundaton. It is owned by and proprietary material of Nikolaus Troje, Director of the BioMoton Lab, which is currently at York University, Toronto, Canada. + +License Grant +Nikolaus Troje grants you a non-exclusive, non-transferable, free of charge right: +To install the Data on computers owned, leased or otherwise controlled by you and/or your organisaton; +To use the Data for the sole purpose of performing non-commercial scientfc research, noncommercial educaton, or non-commercial artstc projects. +Any other use, in partcular any use for commercial purposes, is prohibited. This includes, without limitaton, incorporaton in a commercial product, use in a commercial service, or producton of other artefacts for commercial purposes including, for example, 3D models, movies, or video games. The Data may not be reproduced, modifed and/or made available in any form to any third party without prior writen permission from Nikolaus Troje. + +Human Subjects Data +The Data was captured using a populaton of students and staf from Ruhr University Bochum. All partcipants gave their informed, writen, consent for the scientfc analysis and publicaton of their 3D moton capture data. + +Disclaimer of Representatons and Warrantes +You expressly acknowledge and agree that the Data results from basic research, is provided “AS IS”, may contain errors, and that any use of the Data is at your sole risk. The BioMoton Lab makes no representatons or warrantes of any kind concerning the Data neither expressed nor implied, an the absence of any legal or actual defects, whether discoverable of not. Specifcally, and not to limit the foregoing, the BioMoton Lab makes no representatons or warrantes (i) regarding the merchantability or ftness for a partcular purpose of the Data, (ii) that the use of the Data will not infringe any patents, copyrights or other intellectual property rights of a third party, and (iii) that the use of the Data will not cause any damage of any kind to you or a third party. + +Limitaton of Liability +Under no circumstances shall N. Troje or the BioMoton Lab be liable for any incidental, special, indirect or consequental damages arising out of or relatng to this license, including but not limited to, any lost profts, business interrupton, loss of programs or other data, or all other commercial damages or losses, even if advised of the possibility thereof. + +No Maintenance Services +You understand and agree that the BioMoton Lab is under no obligaton to provide either maintenance services, update services, notces of latent defects, or correctons of defects with regard to the Data. The BioMoton Lab nevertheless reserves the right to update, modify, or discontnue the Data at any tme. + +Publicaton with BMLrub data +You agree to cite relevant papers published by the BioMoton Lab. This website lists the most up to date bibliographic informaton on the front page. + + +Commercial licensing opportunites +For commercial uses, please contact the BioMoton Lab at troje@yorku.ca. \ No newline at end of file diff --git a/g1/CMU/citation.bib b/g1/CMU/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..26bcafc9291c6662eb7267c0612edbb5d959d79b --- /dev/null +++ b/g1/CMU/citation.bib @@ -0,0 +1,5 @@ +@misc{AMASS_CMU, + title = {{CMU MoCap Dataset}}, + author = {{Carnegie Mellon University}}, + url = {http://mocap.cs.cmu.edu} +} \ No newline at end of file diff --git a/g1/CMU/license.txt b/g1/CMU/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab98226bbd2c475aab0e9054de790ffe44792511 --- /dev/null +++ b/g1/CMU/license.txt @@ -0,0 +1,8 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: + +@misc{AMASS_CMU, + title = {{CMU MoCap Dataset}}, + author = {{Carnegie Mellon University}}, + url = {http://mocap.cs.cmu.edu} +} +This data is free for use in research projects. You may include this data in commercially-sold products, but you may not resell this data directly, even in converted form. If you publish results obtained using this data, we would appreciate it if you would send the citation to your published paper to jkh+mocap@cs.cmu.edu, and also would add this text to your acknowledgments section: _The data used in this project was obtained from mocap.cs.cmu.edu. 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a/g1/MPI_HDM05/citation.bib b/g1/MPI_HDM05/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..c022e4e519c1044f8c4b6272f5e53ff1c6e1d8de --- /dev/null +++ b/g1/MPI_HDM05/citation.bib @@ -0,0 +1,9 @@ +@techreport{AMASS_HDM05, + author = {M. M\"{u}ller and T. R\"{o}der and M. Clausen and B. Eberhardt and B. Kr\"{u}ger and A. Weber}, + title = {Documentation Mocap Database HDM05}, + number = {CG-2007-2}, + year = {2007}, + month = {June}, + institution = {Universit\"{a}t Bonn}, + issn = {1610-8892} +} \ No newline at end of file diff --git a/g1/MPI_HDM05/license.txt b/g1/MPI_HDM05/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd21f9734a2242437980ed8557bc21a963d9726f --- /dev/null +++ b/g1/MPI_HDM05/license.txt @@ -0,0 +1,12 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@techreport{AMASS_HDM05, + author = {M. M\"{u}ller and T. R\"{o}der and M. Clausen and B. Eberhardt and B. Kr\"{u}ger and A. Weber}, + title = {Documentation Mocap Database HDM05}, + number = {CG-2007-2}, + year = {2007}, + month = {June}, + institution = {Universit\"{a}t Bonn}, + issn = {1610-8892} +} +License +https://creativecommons.org/licenses/by-sa/3.0/ \ No newline at end of file diff --git a/g1/MPI_Limits/citation.bib b/g1/MPI_Limits/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..729f1119564f9466f0bb8a26ddb32a807fb5a3e7 --- /dev/null +++ b/g1/MPI_Limits/citation.bib @@ -0,0 +1,8 @@ +@inproceedings{AMASS_PosePrior, + title = {Pose-Conditioned Joint Angle Limits for {3D} Human Pose Reconstruction}, + author = {Akhter, Ijaz and Black, Michael J.}, + booktitle = { IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2015}, + month = jun, + abstract = {The estimation of 3D human pose from 2D joint locations is central to many vision problems involving the analysis, of people in images and video. To address the fact that the problem is inherently ill posed, many methods impose a prior over human poses. Unfortunately these priors admit invalid poses because they do not model how joint-limits vary with pose. Here we make two key contributions. First, we collected a motion capture dataset that explores a wide range of human poses. From this we learn a pose-dependent model of joint limits that forms our prior. The dataset and the prior will be made publicly available. Second, we define a general parameterization of body pose and a new, multistage, method to estimate 3D pose from 2D joint locations that uses an over-complete dictionary of human poses. Our method shows good generalization while avoiding impossible poses. We quantitatively compare our method with recent work and show state-of-the-art results on 2D to 3D pose estimation using the CMU mocap dataset. We also show superior results on manual annotations on real images and automatic part-based detections on the Leeds sports pose dataset.}, + year = {2015} +} \ No newline at end of file diff --git a/g1/MPI_Limits/license.txt b/g1/MPI_Limits/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..7952e5151f04cda2435fc54a39eea6bd6d5e9391 --- /dev/null +++ b/g1/MPI_Limits/license.txt @@ -0,0 +1,75 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@inproceedings{AMASS_PosePrior, + title = {Pose-Conditioned Joint Angle Limits for {3D} Human Pose Reconstruction}, + author = {Akhter, Ijaz and Black, Michael J.}, + booktitle = { IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2015}, + month = jun, + abstract = {The estimation of 3D human pose from 2D joint locations is central to many vision problems involving the analysis, of people in images and video. To address the fact that the problem is inherently ill posed, many methods impose a prior over human poses. Unfortunately these priors admit invalid poses because they do not model how joint-limits vary with pose. Here we make two key contributions. First, we collected a motion capture dataset that explores a wide range of human poses. From this we learn a pose-dependent model of joint limits that forms our prior. The dataset and the prior will be made publicly available. Second, we define a general parameterization of body pose and a new, multistage, method to estimate 3D pose from 2D joint locations that uses an over-complete dictionary of human poses. Our method shows good generalization while avoiding impossible poses. We quantitatively compare our method with recent work and show state-of-the-art results on 2D to 3D pose estimation using the CMU mocap dataset. We also show superior results on manual annotations on real images and automatic part-based detections on the Leeds sports pose dataset.}, + year = {2015} +} +Software Copyright License for non-commercial scientific research purposes +Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use the PosePrior Software/Data, (the "Software"). By downloading and/or using the Software, you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download and/or use the Software. Any infringement of the terms of this agreement will automatically terminate your rights under this License + +Ownership +The Software and the associated materials has been developed at the + +Max Planck Institute for Intelligent Systems (hereinafter "MPI") and the Max Planck Institute for Biological Cybernetics (hereinafter “KYB”). + +Any copyright or patent right is owned by and proprietary material of the + +Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (hereinafter “MPG”; MPI and MPG hereinafter collectively “Max-Planck”) + +hereinafter the “Licensor”. + +License Grant +Licensor grants you (Licensee) personally a single-user, non-exclusive, non-transferable, free of charge right: + +To install the Software on computers owned, leased or otherwise controlled by you and/or your organization; +To use the Software for the sole purpose of performing non-commercial scientific research, non-commercial education, or non-commercial artistic projects; +To modify, adapt, translate or create derivative works based upon the Software. +Any other use, in particular any use for commercial purposes, is prohibited. This includes, without limitation, incorporation in a commercial product, use in a commercial service, or production of other artefacts for commercial purposes. The Software may not be reproduced, modified and/or made available in any form to any third party without Max-Planck’s prior written permission. + +The Software may not be used for pornographic purposes or to generate pornographic material whether commercial or not. This license also prohibits the use of the Software to train methods/algorithms/neural networks/etc. for commercial use of any kind. By downloading the Software, you agree not to reverse engineer it. + +No Distribution +The Software and the license herein granted shall not be copied, shared, distributed, re-sold, offered for re-sale, transferred or sub-licensed in whole or in part except that you may make one copy for archive purposes only. + +Disclaimer of Representations and Warranties +You expressly acknowledge and agree that the Software results from basic research, is provided “AS IS”, may contain errors, and that any use of the Software is at your sole risk. LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THE SOFTWARE, NEITHER EXPRESS NOR IMPLIED, AND THE ABSENCE OF ANY LEGAL OR ACTUAL DEFECTS, WHETHER DISCOVERABLE OR NOT. Specifically, and not to limit the foregoing, licensor makes no representations or warranties (i) regarding the merchantability or fitness for a particular purpose of the Software, (ii) that the use of the Software will not infringe any patents, copyrights or other intellectual property rights of a third party, and (iii) that the use of the Software will not cause any damage of any kind to you or a third party. + +Limitation of Liability +Because this Software License Agreement qualifies as a donation, according to Section 521 of the German Civil Code (Bürgerliches Gesetzbuch – BGB) Licensor as a donor is liable for intent and gross negligence only. If the Licensor fraudulently conceals a legal or material defect, they are obliged to compensate the Licensee for the resulting damage. +Licensor shall be liable for loss of data only up to the amount of typical recovery costs which would have arisen had proper and regular data backup measures been taken. For the avoidance of doubt Licensor shall be liable in accordance with the German Product Liability Act in the event of product liability. The foregoing applies also to Licensor’s legal representatives or assistants in performance. Any further liability shall be excluded. +Patent claims generated through the usage of the Software cannot be directed towards the copyright holders. +The Software is provided in the state of development the licensor defines. If modified or extended by Licensee, the Licensor makes no claims about the fitness of the Software and is not responsible for any problems such modifications cause. + +No Maintenance Services +You understand and agree that Max-Planck is under no obligation to provide either maintenance services, update services, notices of latent defects, or corrections of defects with regard to the Data. Max-Planck nevertheless reserves the right to update, modify, or discontinue the Data at any time. + +Publications using the Software +You acknowledge that the Software is a valuable scientific resource and agree to appropriately reference the following paper in any publication making use of the Software. + +Citation: + +``` +@inproceedings{Akhter:CVPR:2015, + title = {Pose-Conditioned Joint Angle Limits for {3D} Human Pose Reconstruction}, + author = {Akhter, Ijaz and Black, Michael J.}, + booktitle = { IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2015}, + month = jun, + abstract = {The estimation of 3D human pose from 2D joint locations is central to many vision problems involving the analysis + of people in images and video. To address the fact that the problem is inherently ill posed, many methods impose + a prior over human poses. Unfortunately these priors admit invalid poses because they do not model how joint-limits + vary with pose. Here we make two key contributions. First, we collected a motion capture dataset that explores a wide + range of human poses. From this we learn a pose-dependent model of joint limits that forms our prior. The dataset and + the prior will be made publicly available. Second, we define a general parameterization of body pose and a new, multistage, method to estimate 3D pose from 2D joint locations that uses an over-complete dictionary of human poses. Our method shows good generalization while avoiding impossible poses. We quantitatively compare our method with + recent work and show state-of-the-art results on 2D to 3D pose estimation using the CMU mocap dataset. We also + show superior results on manual annotations on real images and automatic part-based detections on the Leeds sports + pose dataset.}, + year = {2015} +} +``` +Commercial licensing opportunities +For commercial uses of the Software, please send email to ps-license@tue.mpg.de + +This Agreement shall be governed by the laws of the Federal Republic of Germany except for the UN Sales Convention. \ No newline at end of file diff --git a/g1/SOMA/citation.bib b/g1/SOMA/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..3d8090438ee4d03be6d452b10346f37970b634bb --- /dev/null +++ b/g1/SOMA/citation.bib @@ -0,0 +1,10 @@ +@inproceedings{AMASS_SOMA, + title = {{SOMA}: Solving Optical Marker-Based MoCap Automatically}, + author = {Ghorbani, Nima and Black, Michael J.}, + booktitle = {Proc. International Conference on Computer Vision (ICCV)}, + pages = {11117--11126}, + month = oct, + year = {2021}, + doi = {}, + month_numeric = {10} +} \ No newline at end of file diff --git a/g1/SOMA/license.txt b/g1/SOMA/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..328427dddc171ce13b7c80601f5543e6c4571e11 --- /dev/null +++ b/g1/SOMA/license.txt @@ -0,0 +1,75 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@inproceedings{AMASS_SOMA, + title = {{SOMA}: Solving Optical Marker-Based MoCap Automatically}, + author = {Ghorbani, Nima and Black, Michael J.}, + booktitle = {Proc. International Conference on Computer Vision (ICCV)}, + pages = {11117--11126}, + month = oct, + year = {2021}, + doi = {}, + month_numeric = {10} +} +License + +Software Copyright License for non-commercial scientific research purposes + +Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use the SOMA data and software, (the "Data & Software"), including 3D meshes, images, videos, textures, software, scripts, and animations. By downloading and/or using the Data & Software (including downloading, cloning, installing, and any other use of the corresponding github repository), you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download and/or use the Data & Software. Any infringement of the terms of this agreement will automatically terminate your rights under this License. + +Ownership / Licensees +The Data & Software and the associated materials has been developed at the + +Max Planck Institute for Intelligent Systems (hereinafter “MPI”). + +Any copyright or patent right is owned by and proprietary material of the + +Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (hereinafter “MPG”; MPI and MPG + +hereinafter collectively “Max-Planck” or “Licensor”). + +License Grant +Licensor grants you (Licensee) personally a single-user, non-exclusive, non-transferable, free of charge right: + +To install the Data & Software on computers owned, leased or otherwise controlled by you and/or your organization; +To use the Data & Software for the sole purpose of performing non-commercial scientific research, non-commercial education, or non-commercial artistic projects. +Any other use, in particular any use for commercial, pornographic, military, or surveillance, purposes is prohibited. This includes, without limitation, incorporation in a commercial product, use in a commercial service, or production of other artefacts for commercial purposes. The Data & Software may not be used to create fake, libelous, misleading, or defamatory content of any kind excluding analyses in peer-reviewed scientific research. The Data & Software may not be reproduced, modified and/or made available in any form to any third party without Max-Planck’s prior written permission. + +The Data & Software may not be used for pornographic purposes or to generate pornographic material whether commercial or not. This license also prohibits the use of the Data & Software to train methods/algorithms/neural networks/etc. for commercial, pornographic, military, surveillance, or defamatory use of any kind. By downloading the Data & Software, you agree not to reverse engineer it. + +No Distribution +The Data & Software and the license herein granted shall not be copied, shared, distributed, re-sold, offered for re-sale, transferred or sub-licensed in whole or in part except that you may make one copy for archive purposes only. + +Disclaimer of Representations and Warranties +You expressly acknowledge and agree that the Data & Software results from basic research, is provided “AS IS”, may contain errors, and that any use of the Data & Software is at your sole risk. +LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THE DATA & SOFTWARE, NEITHER EXPRESS NOR IMPLIED, AND THE ABSENCE OF ANY LEGAL OR ACTUAL DEFECTS, WHETHER DISCOVERABLE OR NOT. +Specifically, and not to limit the foregoing, licensor makes no representations or warranties (i) regarding the merchantability or fitness for a particular purpose of the Data & Software, (ii) that +the use of the Data & Software will not infringe any patents, copyrights or other intellectual property rights of a third party, and (iii) that the use of the Data & Software will not cause any damage of any kind to you or a third party. + +Limitation of Liability +Because this Data & Software License Agreement qualifies as a donation, according to Section 521 of the German Civil Code (Bürgerliches Gesetzbuch – BGB) Licensor as a donor is liable for intent and gross negligence only. If the Licensor fraudulently conceals a legal or material defect, they are obliged to compensate the Licensee for the resulting damage. + +Licensor shall be liable for loss of data only up to the amount of typical recovery costs which would have arisen had proper and regular data backup measures been taken. For the avoidance of doubt Licensor shall be liable in accordance with the German Product Liability Act in the event of product liability. The foregoing applies also to Licensor’s legal representatives or assistants in performance. Any further liability shall be excluded. Patent claims generated through the usage of the Data & Software cannot be directed towards the copyright holders. The Data & Software is provided in the state of development the licensor defines. If modified or extended by Licensee, the Licensor makes no claims about the fitness of the Data & Software and is not responsible for any problems such modifications cause. + +No Maintenance Services +You understand and agree that Licensor is under no obligation to provide either maintenance services, update services, notices of latent defects, or corrections of defects with regard to the Data & Software. Licensor nevertheless reserves the right to update, modify, or discontinue the Data & Software at any time. + +Defects of the Data & Software must be notified in writing to the Licensor with a comprehensible description of the error symptoms. The notification of the defect should enable the reproduction of the error. The Licensee is encouraged to communicate any use, results, modification or publication. + +Subjects' Consent +All subjects gave informed written consent to share their data for research purposes. You further agree to delete data or change their use, in case a subject changes or withdraws their consent. + +Publications using the Data & Software +You acknowledge that the Data & Software is a valuable scientific resource and agree to appropriately reference the following paper in any publication making use of the Data & Software: + +``` +@inproceedings{SOMA:ICCV:2021, + title = {{SOMA}: Solving Optical Marker-Based MoCap Automatically}, + author = {Ghorbani, Nima and Black, Michael J.}, + booktitle = {Proceedings of IEEE/CVF International Conference on Computer Vision (ICCV)}, + month = oct, + year = {2021}, + doi = {}, + month_numeric = {10}} +``` +For commercial uses of the Data & Software, please send email to ps-license@tue.mpg.de + +This Agreement shall be governed by the laws of the Federal Republic of Germany except for the UN Sales Convention. \ No newline at end of file diff --git a/g1/TotalCapture/citation.bib b/g1/TotalCapture/citation.bib new file mode 100644 index 0000000000000000000000000000000000000000..d7b68614383034a626f657393bb7c9808cdaafe8 --- /dev/null +++ b/g1/TotalCapture/citation.bib @@ -0,0 +1,6 @@ +@inproceedings{AMASS_TotalCapture, + author = {Trumble, Matt and Gilbert, Andrew and Malleson, Charles and Hilton, Adrian and Collomosse, John}, + title = {{Total Capture}: 3D Human Pose Estimation Fusing Video and Inertial Sensors}, + booktitle = {2017 British Machine Vision Conference (BMVC)}, + year = {2017} +} diff --git a/g1/TotalCapture/license.txt b/g1/TotalCapture/license.txt new file mode 100644 index 0000000000000000000000000000000000000000..63ece798c1f982305dd14900fe29430b3842823e --- /dev/null +++ b/g1/TotalCapture/license.txt @@ -0,0 +1,17 @@ +If you use this data, the creators of the dataset would kindly ask you to cite their work in your project: +@inproceedings{AMASS_TotalCapture, + author = {Trumble, Matt and Gilbert, Andrew and Malleson, Charles and Hilton, Adrian and Collomosse, John}, + title = {{Total Capture}: 3D Human Pose Estimation Fusing Video and Inertial Sensors}, + booktitle = {2017 British Machine Vision Conference (BMVC)}, + year = {2017} +} +License +The datasets are free for research use only. + +This agreement must be confirmed by a senior representative of your organisation. To access and use this data you agree to the following conditions: + +Multiple view video sets and associated data files will be used for research purposes only. +The dataset source should be acknowledged in all publications and publicity material which it is used or results derived from the data are used by referencing the relevant publication as indicated for specific datasets and inclusion of the repository link +The datasets should not be used for commercial purposes. +The data should not be redistributed. +To request access to the TotalCapture Dataset , or for other queries please contact: a.gilbert@surrey.ac.uk \ No newline at end of file