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Single view motion tracking by depth and silhouette information

Grest, Daniel ; Krüger, Volker LU orcid and Koch, Reinhard (2007) 15th Scandinavian Conference on Image Analysis, SCIA 2007 In Lecture Notes in Computer Science 4522. p.719-729
Abstract

In this work1 a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device (PMD), which measures the time-of-flight of light. Correspondences between the silhouette of the projected model and the real image are established in a novel way, that can handle cluttered non-static backgrounds. Pose is estimated by Nonlinear Least Squares, which handles the underlying dynamics of the kinematic chain directly. Analytic Jacobians allow pose estimation with 5 FPS.

Please use this url to cite or link to this publication:
author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Articulated objects, Cue-integration, Optical motion capture, Pose estimation
host publication
Image Analysis : 15th Scandinavian Conference, SCIA 2007, Proceedings - 15th Scandinavian Conference, SCIA 2007, Proceedings
series title
Lecture Notes in Computer Science
volume
4522
pages
11 pages
publisher
Springer
conference name
15th Scandinavian Conference on Image Analysis, SCIA 2007
conference location
Aalborg, Denmark
conference dates
2007-06-10 - 2007-06-14
external identifiers
  • scopus:38049093950
ISSN
0302-9743
1611-3349
ISBN
9783540730392
DOI
10.1007/978-3-540-73040-8_73
language
English
LU publication?
no
id
dc70b3c8-d2e2-43c5-9dfd-63bf265f8984
date added to LUP
2019-07-08 21:17:33
date last changed
2024-01-01 15:51:11
@inproceedings{dc70b3c8-d2e2-43c5-9dfd-63bf265f8984,
  abstract     = {{<p>In this work<sup>1</sup> a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device (PMD), which measures the time-of-flight of light. Correspondences between the silhouette of the projected model and the real image are established in a novel way, that can handle cluttered non-static backgrounds. Pose is estimated by Nonlinear Least Squares, which handles the underlying dynamics of the kinematic chain directly. Analytic Jacobians allow pose estimation with 5 FPS.</p>}},
  author       = {{Grest, Daniel and Krüger, Volker and Koch, Reinhard}},
  booktitle    = {{Image Analysis : 15th Scandinavian Conference, SCIA 2007, Proceedings}},
  isbn         = {{9783540730392}},
  issn         = {{0302-9743}},
  keywords     = {{Articulated objects; Cue-integration; Optical motion capture; Pose estimation}},
  language     = {{eng}},
  month        = {{12}},
  pages        = {{719--729}},
  publisher    = {{Springer}},
  series       = {{Lecture Notes in Computer Science}},
  title        = {{Single view motion tracking by depth and silhouette information}},
  url          = {{http://dx.doi.org/10.1007/978-3-540-73040-8_73}},
  doi          = {{10.1007/978-3-540-73040-8_73}},
  volume       = {{4522}},
  year         = {{2007}},
}