Body-part templates for recovery of 2D human poses under occlusion

Ronald Walter Poppe, Mannes Poel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 4 Citations

Abstract

Detection of humans and estimation of their 2D poses from a single image are challenging tasks. This is especially true when part of the observation is occluded. However, given a limited class of movements, poses can be recovered given the visible body-parts. To this end, we propose a novel template representation where the body is divided into five body-parts. Given a match, we not only estimate the joints in the body-part, but all joints in the body. Quantitative evaluation on a HumanEva walking sequence shows mean 2D errors of approximately 27.5 pixels. For simulated occlusion of the head and arms, similar results are obtained while occlusion of the legs increases this error by 6 pixels.
LanguageUndefined
Title of host publicationProceedings of the International Conference on Articulated Motion and Deformable Objects (AMDO)
EditorsF.J. Perales, R.B. Fisher
Place of PublicationBerlin
PublisherSpringer Verlag
Pages289-298
Number of pages10
ISBN (Print)978-3-540-70516-1
DOIs
StatePublished - 27 Jun 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
No.274
Volume5098
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • EWI-12886
  • EC Grant Agreement nr.: FP6/033812
  • METIS-251011
  • IR-64813

Cite this

Poppe, R. W., & Poel, M. (2008). Body-part templates for recovery of 2D human poses under occlusion. In F. J. Perales, & R. B. Fisher (Eds.), Proceedings of the International Conference on Articulated Motion and Deformable Objects (AMDO) (pp. 289-298). [10.1007/978-3-540-70517-8_28] (Lecture Notes in Computer Science; Vol. 5098, No. 274). Berlin: Springer Verlag. DOI: 10.1007/978-3-540-70517-8_28
Poppe, Ronald Walter ; Poel, Mannes. / Body-part templates for recovery of 2D human poses under occlusion. Proceedings of the International Conference on Articulated Motion and Deformable Objects (AMDO). editor / F.J. Perales ; R.B. Fisher. Berlin : Springer Verlag, 2008. pp. 289-298 (Lecture Notes in Computer Science; 274).
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abstract = "Detection of humans and estimation of their 2D poses from a single image are challenging tasks. This is especially true when part of the observation is occluded. However, given a limited class of movements, poses can be recovered given the visible body-parts. To this end, we propose a novel template representation where the body is divided into five body-parts. Given a match, we not only estimate the joints in the body-part, but all joints in the body. Quantitative evaluation on a HumanEva walking sequence shows mean 2D errors of approximately 27.5 pixels. For simulated occlusion of the head and arms, similar results are obtained while occlusion of the legs increases this error by 6 pixels.",
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Poppe, RW & Poel, M 2008, Body-part templates for recovery of 2D human poses under occlusion. in FJ Perales & RB Fisher (eds), Proceedings of the International Conference on Articulated Motion and Deformable Objects (AMDO)., 10.1007/978-3-540-70517-8_28, Lecture Notes in Computer Science, no. 274, vol. 5098, Springer Verlag, Berlin, pp. 289-298. DOI: 10.1007/978-3-540-70517-8_28

Body-part templates for recovery of 2D human poses under occlusion. / Poppe, Ronald Walter; Poel, Mannes.

Proceedings of the International Conference on Articulated Motion and Deformable Objects (AMDO). ed. / F.J. Perales; R.B. Fisher. Berlin : Springer Verlag, 2008. p. 289-298 10.1007/978-3-540-70517-8_28 (Lecture Notes in Computer Science; Vol. 5098, No. 274).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Body-part templates for recovery of 2D human poses under occlusion

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N2 - Detection of humans and estimation of their 2D poses from a single image are challenging tasks. This is especially true when part of the observation is occluded. However, given a limited class of movements, poses can be recovered given the visible body-parts. To this end, we propose a novel template representation where the body is divided into five body-parts. Given a match, we not only estimate the joints in the body-part, but all joints in the body. Quantitative evaluation on a HumanEva walking sequence shows mean 2D errors of approximately 27.5 pixels. For simulated occlusion of the head and arms, similar results are obtained while occlusion of the legs increases this error by 6 pixels.

AB - Detection of humans and estimation of their 2D poses from a single image are challenging tasks. This is especially true when part of the observation is occluded. However, given a limited class of movements, poses can be recovered given the visible body-parts. To this end, we propose a novel template representation where the body is divided into five body-parts. Given a match, we not only estimate the joints in the body-part, but all joints in the body. Quantitative evaluation on a HumanEva walking sequence shows mean 2D errors of approximately 27.5 pixels. For simulated occlusion of the head and arms, similar results are obtained while occlusion of the legs increases this error by 6 pixels.

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KW - EC Grant Agreement nr.: FP6/033812

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KW - IR-64813

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Poppe RW, Poel M. Body-part templates for recovery of 2D human poses under occlusion. In Perales FJ, Fisher RB, editors, Proceedings of the International Conference on Articulated Motion and Deformable Objects (AMDO). Berlin: Springer Verlag. 2008. p. 289-298. 10.1007/978-3-540-70517-8_28. (Lecture Notes in Computer Science; 274). Available from, DOI: 10.1007/978-3-540-70517-8_28