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  Articulated People Detection and Pose Estimation: Reshaping the Future

Pishchulin, L., Jain, A., Andriluka, M., Thormaehlen, T., & Schiele, B. (2012). Articulated People Detection and Pose Estimation: Reshaping the Future. In S. Belongie, A. Blake, J. Luo, & A. Yuille (Eds.), 2012 IEEE Conference on Computer Vision and Pattern Recognition (pp. 3178-3185). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2012.6248052.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-F79E-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-3071-6
Genre: Conference Paper
Latex : Articulated People Detection and Pose Estimation: {Reshaping} the Future

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 Creators:
Pishchulin, Leonid1, Author           
Jain, Arjun2, Author           
Andriluka, Mykhaylo1, Author           
Thormaehlen, Thorsten2, Author           
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: State-of-the-art methods for human detection and pose estimation require many training samples for best performance. While large, manually collected datasets exist, the captured variations w.r.t. appearance, shape and pose are often uncontrolled thus limiting the overall performance. In order to overcome this limitation we propose a new technique to extend an existing training set that allows to explicitly control pose and shape variations. For this we build on recent advances in computer graphics to generate samples with realistic appearance and background while modifying body shape and pose. We validate the effectiveness of our approach on the task of articulated human detection and articulated pose estimation. We report close to state of the art results on the popular Image Parsing human pose estimation benchmark and demonstrate superior performance for articulated human detection. In addition we define a new challenge of combined articulated human detection and pose estimation in real-world scenes.

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Language(s): eng - English
 Dates: 20122012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: pishchulin12cvpr
Other: Local-ID: DFAD1D52F4D7BE40C1257AC2006E50CF-pishchulin12cvpr
DOI: 10.1109/CVPR.2012.6248052
 Degree: -

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Title: IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Providence, RI
Start-/End Date: 2012-06-16 - 2012-06-21

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Title: 2012 IEEE Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2012
Source Genre: Proceedings
 Creator(s):
Belongie, Serge1, Editor
Blake, Andrew1, Editor
Luo, Jiebo1, Editor
Yuille, Alan1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3178 - 3185 Identifier: ISSN: 1063-6919
ISBN: 978-1-4673-1226-4
ISBN: 978-1-4673-1227-1