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Liang Zhang, Guido Brunnett, and Stephan Rusdorf, Real-time Human Motion Capture with Simple Marker Sets and Monocular Video. JVRB - Journal of Virtual Reality and Broadcasting, 8(2011), no. 1. (urn:nbn:de:0009-6-28196)

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%0 Journal Article
%T Real-time Human Motion Capture with Simple Marker Sets and Monocular Video
%A Zhang, Liang
%A Brunnett, Guido
%A Rusdorf, Stephan
%J JVRB - Journal of Virtual Reality and Broadcasting
%D 2011
%V 8(2011)
%N 1
%@ 1860-2037
%F zhang2011
%X In this paper we present a hybrid method to track humanmotions in real-time. With simplified markersets and monocular video input, the strength of bothmarker-based and marker-free motion capturing areutilized: A cumbersome marker calibration is avoidedwhile the robustness of the marker-free tracking is enhancedby referencing the tracked marker positions.An improved inverse kinematics solver is employedfor real-time pose estimation. A computer-visionbasedapproach is applied to refine the pose estimationand reduce the ambiguity of the inverse kinematics solutions.We use this hybrid method to capture typicaltable tennis upper body movements in a real-time virtualreality application.
%L 004
%K Computervision-based motion capture
%K Human motion capture
%K Inverse kinematics
%R 10.20385/1860-2037/8.2011.1
%U http://nbn-resolving.de/urn:nbn:de:0009-6-28196
%U http://dx.doi.org/10.20385/1860-2037/8.2011.1
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@Article{zhang2011,
  author = 	"Zhang, Liang
		and Brunnett, Guido
		and Rusdorf, Stephan",
  title = 	"Real-time Human Motion Capture with Simple Marker Sets and Monocular Video",
  journal = 	"JVRB - Journal of Virtual Reality and Broadcasting",
  year = 	"2011",
  volume = 	"8(2011)",
  number = 	"1",
  keywords = 	"Computervision-based motion capture; Human motion capture; Inverse kinematics",
  abstract = 	"In this paper we present a hybrid method to track humanmotions in real-time. With simplified markersets and monocular video input, the strength of bothmarker-based and marker-free motion capturing areutilized: A cumbersome marker calibration is avoidedwhile the robustness of the marker-free tracking is enhancedby referencing the tracked marker positions.An improved inverse kinematics solver is employedfor real-time pose estimation. A computer-visionbasedapproach is applied to refine the pose estimationand reduce the ambiguity of the inverse kinematics solutions.We use this hybrid method to capture typicaltable tennis upper body movements in a real-time virtualreality application.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/8.2011.1",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-28196"
}
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RIS

TY  - JOUR
AU  - Zhang, Liang
AU  - Brunnett, Guido
AU  - Rusdorf, Stephan
PY  - 2011
DA  - 2011//
TI  - Real-time Human Motion Capture with Simple Marker Sets and Monocular Video
JO  - JVRB - Journal of Virtual Reality and Broadcasting
VL  - 8(2011)
IS  - 1
KW  - Computervision-based motion capture
KW  - Human motion capture
KW  - Inverse kinematics
AB  - In this paper we present a hybrid method to track humanmotions in real-time. With simplified markersets and monocular video input, the strength of bothmarker-based and marker-free motion capturing areutilized: A cumbersome marker calibration is avoidedwhile the robustness of the marker-free tracking is enhancedby referencing the tracked marker positions.An improved inverse kinematics solver is employedfor real-time pose estimation. A computer-visionbasedapproach is applied to refine the pose estimationand reduce the ambiguity of the inverse kinematics solutions.We use this hybrid method to capture typicaltable tennis upper body movements in a real-time virtualreality application.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-28196
DO  - 10.20385/1860-2037/8.2011.1
ID  - zhang2011
ER  -
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Wordbib

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<b:Volume>8(2011)</b:Volume>
<b:Issue>1</b:Issue>
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ISI

PT Journal
AU Zhang, L
   Brunnett, G
   Rusdorf, S
TI Real-time Human Motion Capture with Simple Marker Sets and Monocular Video
SO JVRB - Journal of Virtual Reality and Broadcasting
PY 2011
VL 8(2011)
IS 1
DI 10.20385/1860-2037/8.2011.1
DE Computervision-based motion capture; Human motion capture; Inverse kinematics
AB In this paper we present a hybrid method to track humanmotions in real-time. With simplified markersets and monocular video input, the strength of bothmarker-based and marker-free motion capturing areutilized: A cumbersome marker calibration is avoidedwhile the robustness of the marker-free tracking is enhancedby referencing the tracked marker positions.An improved inverse kinematics solver is employedfor real-time pose estimation. A computer-visionbasedapproach is applied to refine the pose estimationand reduce the ambiguity of the inverse kinematics solutions.We use this hybrid method to capture typicaltable tennis upper body movements in a real-time virtualreality application.
ER
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Mods

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  <titleInfo>
    <title>Real-time Human Motion Capture with Simple Marker Sets and Monocular Video</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Zhang</namePart>
    <namePart type="given">Liang</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Brunnett</namePart>
    <namePart type="given">Guido</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Rusdorf</namePart>
    <namePart type="given">Stephan</namePart>
  </name>
  <abstract>In this paper we present a hybrid method to track human
motions in real-time. With simplified marker
sets and monocular video input, the strength of both
marker-based and marker-free motion capturing are
utilized: A cumbersome marker calibration is avoided
while the robustness of the marker-free tracking is enhanced
by referencing the tracked marker positions.
An improved inverse kinematics solver is employed
for real-time pose estimation. A computer-visionbased
approach is applied to refine the pose estimation
and reduce the ambiguity of the inverse kinematics solutions.
We use this hybrid method to capture typical
table tennis upper body movements in a real-time virtual
reality application.</abstract>
  <subject>
    <topic>Computervision-based motion capture</topic>
    <topic>Human motion capture</topic>
    <topic>Inverse kinematics</topic>
  </subject>
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  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-6-28196</identifier>
  <identifier type="citekey">zhang2011</identifier>
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Full Metadata

Bibliographic Citation JVRB, 8(2011), no. 1.
Title

Real-time Human Motion Capture with Simple Marker Sets and Monocular Video (eng)
Author Liang Zhang, Guido Brunnett, Stephan Rusdorf
Language eng
Abstract In this paper we present a hybrid method to track human motions in real-time. With simplified marker sets and monocular video input, the strength of both marker-based and marker-free motion capturing are utilized: A cumbersome marker calibration is avoided while the robustness of the marker-free tracking is enhanced by referencing the tracked marker positions. An improved inverse kinematics solver is employed for real-time pose estimation. A computer-visionbased approach is applied to refine the pose estimation and reduce the ambiguity of the inverse kinematics solutions. We use this hybrid method to capture typical table tennis upper body movements in a real-time virtual reality application.
Subject Computervision-based motion capture, Human motion capture, Inverse kinematics
Classified Subjects
swd
  • 4546181-8, Motion Capturing
  • 4129594-8, Computer Vision
DDC 004
Rights DPPL
URN: urn:nbn:de:0009-6-28196
DOI https://doi.org/10.20385/1860-2037/8.2011.1