Details
Original language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Publisher | Springer Verlag |
Pages | 294-301 |
Number of pages | 8 |
ISBN (print) | 3540229450, 9783540229452 |
Publication status | Published - 2004 |
Externally published | Yes |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 3175 |
ISSN (Print) | 0302-9743 |
ISSN (electronic) | 1611-3349 |
Abstract
In this contribution we present an algorithm for 2D-3D pose estimation of human beings. A human torso is modeled in terms of free-form surface patches which are extended with joints inside the surface. We determine the 3D pose and the angles of the arm joints from image silhouettes of the torso. This silhouette based approach towards human motion estimation is illustrated by experimental results for monocular or stereo image sequences.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, 2004. p. 294-301 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3175).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Silhouette based human motion estimation
AU - Rosenhahn, Bodo
AU - Klette, Reinhard
AU - Sommer, Gerald
PY - 2004
Y1 - 2004
N2 - In this contribution we present an algorithm for 2D-3D pose estimation of human beings. A human torso is modeled in terms of free-form surface patches which are extended with joints inside the surface. We determine the 3D pose and the angles of the arm joints from image silhouettes of the torso. This silhouette based approach towards human motion estimation is illustrated by experimental results for monocular or stereo image sequences.
AB - In this contribution we present an algorithm for 2D-3D pose estimation of human beings. A human torso is modeled in terms of free-form surface patches which are extended with joints inside the surface. We determine the 3D pose and the angles of the arm joints from image silhouettes of the torso. This silhouette based approach towards human motion estimation is illustrated by experimental results for monocular or stereo image sequences.
UR - http://www.scopus.com/inward/record.url?scp=35048813101&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-28649-3_36
DO - 10.1007/978-3-540-28649-3_36
M3 - Contribution to book/anthology
AN - SCOPUS:35048813101
SN - 3540229450
SN - 9783540229452
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 294
EP - 301
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -