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  Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors

Guzov, V., Mir, A., Sattler, T., & Pons-Moll, G. (2021). Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4318-4329). Piscataway, NJ: IEEE. doi:10.1109/CVPR46437.2021.00430.

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Genre: Conference Paper
Latex : Human {POSEitioning} System ({HPS}): {3D} Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors

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Guzov_Human_POSEitioning_System_HPS_3D_Human_Pose_Estimation_and_Self-Localization_CVPR_2021_paper.pdf (Preprint), 6MB
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Guzov_Human_POSEitioning_System_HPS_3D_Human_Pose_Estimation_and_Self-Localization_CVPR_2021_paper.pdf
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These CVPR 2021 papers are the Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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 Creators:
Guzov, Vladimir1, Author           
Mir, Aymen1, Author           
Sattler,, Torsten2, Author
Pons-Moll, Gerard1, Author           
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20212021
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Guzov_CVPR21
DOI: 10.1109/CVPR46437.2021.00430
 Degree: -

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Title: 34th IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Nashville, TN, US (Virtual)
Start-/End Date: 2021-06-19 - 2021-06-25

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Project name : RICAIP
Grant ID : 857306
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2021
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4318 - 4329 Identifier: ISBN: 978-1-6654-4509-2