Estimating 3D human body pose from stereo image sequences

Hee Deok Yang, Sung K. Park, Seong Whan Lee

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

Abstract

This paper presents a novel method for estimating 3D human body pose from stereo image sequences based on top-down learning. Human body pose is represented by a linear combination of prototypes of 2D depth images and their corresponding 3D body models in terms of the position of a predetermined set of joints. With a 2D depth image, we can estimate optimal coefficients for a linear combination of prototypes of the 2D depth images by solving least square minimization. The 3D body model of the input depth image is obtained by applying the estimated coefficients to the corresponding 3D body model of prototypes. In the learning stage, the proposed method is hierarchically constructed by classifying the training data into several clusters with a silhouette images and a depth images recursively. Also, in the estimating stage, the proposed method hierarchically estimates 3D human body pose with a silhouette image and a depth image. The experimental results show that our method can be efficient and effective for estimating 3D human body pose.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages172-175
Number of pages4
Volume3881 LNAI
DOIs
Publication statusPublished - 2006 Jul 7
Event6th International Gesture Workshop, GW 2005 - Berder Island, France
Duration: 2005 May 182005 May 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3881 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Gesture Workshop, GW 2005
CountryFrance
CityBerder Island
Period05/5/1805/5/20

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ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yang, H. D., Park, S. K., & Lee, S. W. (2006). Estimating 3D human body pose from stereo image sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3881 LNAI, pp. 172-175). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3881 LNAI). https://doi.org/10.1007/11678816_20