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  DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., & Schiele, B. (2016). DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model. In B. Leibe (Ed.), Computer Vision -- ECCV 2016 (pp. 34-50). Berlin: Springer. doi:10.1007/978-3-319-46466-4_3.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-FCF9-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-E8D7-8
Genre: Conference Paper
Latex : {DeeperCut}: {A} Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

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 Creators:
Insafutdinov, Eldar1, Author           
Pishchulin, Leonid1, Author           
Andres, Bjoern1, Author           
Andriluka, Mykhaylo2, Author           
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Free keywords: Computer Science, Computer Vision and Pattern Recognition, cs.CV
 Abstract: The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) improved body part detectors that generate effective bottom-up proposals for body parts; (2) novel image-conditioned pairwise terms that allow to assemble the proposals into a variable number of consistent body part configurations; and (3) an incremental optimization strategy that explores the search space more efficiently thus leading both to better performance and significant speed-up factors. We evaluate our approach on two single-person and two multi-person pose estimation benchmarks. The proposed approach significantly outperforms best known multi-person pose estimation results while demonstrating competitive performance on the task of single person pose estimation. Models and code available at http://pose.mpi-inf.mpg.de

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Language(s): eng - English
 Dates: 20162016
 Publication Status: Issued
 Pages: 22 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 1012
DOI: 10.1007/978-3-319-46466-4_3
 Degree: -

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Title: 14th European Conference on Computer Vision
Place of Event: Amsterdam, The Netherlands
Start-/End Date: 2016-10-11 - 2016-10-14

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Title: Computer Vision -- ECCV 2016
  Abbreviation : ECCV 2016
  Subtitle : 14th European Conference ; Amsterdam, The Netherlands, October 11-14, 2016 ; Proceedings, Part VI
Source Genre: Proceedings
 Creator(s):
Leibe, Bastian1, Editor           
Matas, Jiri1, Author
Sebe, Nicu1, Author
Welling, Max1, Author
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 34 - 50 Identifier: ISBN: 978-3-319-46465-7

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 9910 Sequence Number: - Start / End Page: - Identifier: -