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Martin Madaras, Adam Riečický, Michal Mesároš, Michal Piovarči, and Roman Ďurikovič, Position Estimation and Calibration of Inertial Motion Capture Systems Using Single Camera. Journal of Virtual Reality and Broadcasting, 15(2018), no. 3. (urn:nbn:de:0009-6-48214)

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%0 Journal Article
%T Position Estimation and Calibration of Inertial Motion Capture Systems Using Single Camera
%A Madaras, Martin
%A Riečický, Adam
%A Mesároš, Michal
%A Piovarči, Michal
%A Ďurikovič, Roman
%J Journal of Virtual Reality and Broadcasting
%D 2019
%V 15(2018)
%N 3
%@ 1860-2037
%F madaras2019
%X The paper proposes a hybrid system for position estimationof a motion capture suit and gloves as wellas a method for an automatic skeleton calibration formotion capture gloves. The skeleton calibration workswith a single image scan of the hand where the skeletonis fitted. The position estimation is based on a synchronizationof an inertial motion capture system anda single camera optical setup. The proposed synchronizationuses an iterative optimization of an energy potentialin image space, minimizing the error betweenthe camera image and a rendered virtual representationof the scene. For each frame, an input skeletonpose from the mocap suit is used to render a silhouetteof a subject. Moreover, the local neighborhood aroundthe last known position is searched by matching thesilhouette to the distance transform representation ofthe camera image based on Chamfer matching. Usingthe combination of the camera tracking and the inertialmotion capture suit, it is possible to retrieve the position of the joints that are hidden from the camera view.Using the proposed hybrid technique, it is possible tocapture the position even if it cannot be captured bythe suit sensors. Our system can be used for both realtimetracking and off-line post-processing of alreadycaptured mocap data.
%L 004
%K Motion Capture
%K glove skeleton calibration
%K inertial suit
%K optical system
%K optical-inertial synchronization
%K silhouette tracking
%R 10.20385/1860-2037/15.2018.3
%U http://nbn-resolving.de/urn:nbn:de:0009-6-48214
%U http://dx.doi.org/10.20385/1860-2037/15.2018.3
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Bibtex

@Article{madaras2019,
  author = 	"Madaras, Martin
		and Rie{\v{c}}ick{\'y}, Adam
		and Mes{\'a}ro{\v{s}}, Michal
		and Piovar{\v{c}}i, Michal
		and {\v{D}}urikovi{\v{c}}, Roman",
  title = 	"Position Estimation and Calibration of Inertial Motion Capture Systems Using Single Camera",
  journal = 	"Journal of Virtual Reality and Broadcasting",
  year = 	"2019",
  volume = 	"15(2018)",
  number = 	"3",
  keywords = 	"Motion Capture; glove skeleton calibration; inertial suit; optical system; optical-inertial synchronization; silhouette tracking",
  abstract = 	"The paper proposes a hybrid system for position estimationof a motion capture suit and gloves as wellas a method for an automatic skeleton calibration formotion capture gloves. The skeleton calibration workswith a single image scan of the hand where the skeletonis fitted. The position estimation is based on a synchronizationof an inertial motion capture system anda single camera optical setup. The proposed synchronizationuses an iterative optimization of an energy potentialin image space, minimizing the error betweenthe camera image and a rendered virtual representationof the scene. For each frame, an input skeletonpose from the mocap suit is used to render a silhouetteof a subject. Moreover, the local neighborhood aroundthe last known position is searched by matching thesilhouette to the distance transform representation ofthe camera image based on Chamfer matching. Usingthe combination of the camera tracking and the inertialmotion capture suit, it is possible to retrieve the position of the joints that are hidden from the camera view.Using the proposed hybrid technique, it is possible tocapture the position even if it cannot be captured bythe suit sensors. Our system can be used for both realtimetracking and off-line post-processing of alreadycaptured mocap data.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/15.2018.3",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-48214"
}
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RIS

TY  - JOUR
AU  - Madaras, Martin
AU  - Riečický, Adam
AU  - Mesároš, Michal
AU  - Piovarči, Michal
AU  - Ďurikovič, Roman
PY  - 2019
DA  - 2019//
TI  - Position Estimation and Calibration of Inertial Motion Capture Systems Using Single Camera
JO  - Journal of Virtual Reality and Broadcasting
VL  - 15(2018)
IS  - 3
KW  - Motion Capture
KW  - glove skeleton calibration
KW  - inertial suit
KW  - optical system
KW  - optical-inertial synchronization
KW  - silhouette tracking
AB  - The paper proposes a hybrid system for position estimationof a motion capture suit and gloves as wellas a method for an automatic skeleton calibration formotion capture gloves. The skeleton calibration workswith a single image scan of the hand where the skeletonis fitted. The position estimation is based on a synchronizationof an inertial motion capture system anda single camera optical setup. The proposed synchronizationuses an iterative optimization of an energy potentialin image space, minimizing the error betweenthe camera image and a rendered virtual representationof the scene. For each frame, an input skeletonpose from the mocap suit is used to render a silhouetteof a subject. Moreover, the local neighborhood aroundthe last known position is searched by matching thesilhouette to the distance transform representation ofthe camera image based on Chamfer matching. Usingthe combination of the camera tracking and the inertialmotion capture suit, it is possible to retrieve the position of the joints that are hidden from the camera view.Using the proposed hybrid technique, it is possible tocapture the position even if it cannot be captured bythe suit sensors. Our system can be used for both realtimetracking and off-line post-processing of alreadycaptured mocap data.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-48214
DO  - 10.20385/1860-2037/15.2018.3
ID  - madaras2019
ER  -
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Wordbib

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ISI

PT Journal
AU Madaras, M
   Riečický, A
   Mesároš, M
   Piovarči, M
   Ďurikovič, R
TI Position Estimation and Calibration of Inertial Motion Capture Systems Using Single Camera
SO Journal of Virtual Reality and Broadcasting
PY 2019
VL 15(2018)
IS 3
DI 10.20385/1860-2037/15.2018.3
DE Motion Capture; glove skeleton calibration; inertial suit; optical system; optical-inertial synchronization; silhouette tracking
AB The paper proposes a hybrid system for position estimationof a motion capture suit and gloves as wellas a method for an automatic skeleton calibration formotion capture gloves. The skeleton calibration workswith a single image scan of the hand where the skeletonis fitted. The position estimation is based on a synchronizationof an inertial motion capture system anda single camera optical setup. The proposed synchronizationuses an iterative optimization of an energy potentialin image space, minimizing the error betweenthe camera image and a rendered virtual representationof the scene. For each frame, an input skeletonpose from the mocap suit is used to render a silhouetteof a subject. Moreover, the local neighborhood aroundthe last known position is searched by matching thesilhouette to the distance transform representation ofthe camera image based on Chamfer matching. Usingthe combination of the camera tracking and the inertialmotion capture suit, it is possible to retrieve the position of the joints that are hidden from the camera view.Using the proposed hybrid technique, it is possible tocapture the position even if it cannot be captured bythe suit sensors. Our system can be used for both realtimetracking and off-line post-processing of alreadycaptured mocap data.
ER
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Mods

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  <titleInfo>
    <title>Position Estimation and Calibration of Inertial Motion Capture Systems Using Single Camera</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Madaras</namePart>
    <namePart type="given">Martin</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Riečický</namePart>
    <namePart type="given">Adam</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Mesároš</namePart>
    <namePart type="given">Michal</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Piovarči</namePart>
    <namePart type="given">Michal</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Ďurikovič</namePart>
    <namePart type="given">Roman</namePart>
  </name>
  <abstract>The paper proposes a hybrid system for position estimation
of a motion capture suit and gloves as well
as a method for an automatic skeleton calibration for
motion capture gloves. The skeleton calibration works
with a single image scan of the hand where the skeleton
is fitted. The position estimation is based on a synchronization
of an inertial motion capture system and
a single camera optical setup. The proposed synchronization
uses an iterative optimization of an energy potential
in image space, minimizing the error between
the camera image and a rendered virtual representation
of the scene. For each frame, an input skeleton
pose from the mocap suit is used to render a silhouette
of a subject. Moreover, the local neighborhood around
the last known position is searched by matching the
silhouette to the distance transform representation of
the camera image based on Chamfer matching. Using
the combination of the camera tracking and the inertial
motion capture suit, it is possible to retrieve the 
position of the joints that are hidden from the camera view.
Using the proposed hybrid technique, it is possible to
capture the position even if it cannot be captured by
the suit sensors. Our system can be used for both realtime
tracking and off-line post-processing of already
captured mocap data.</abstract>
  <subject>
    <topic>Motion Capture</topic>
    <topic>glove skeleton calibration</topic>
    <topic>inertial suit</topic>
    <topic>optical system</topic>
    <topic>optical-inertial synchronization</topic>
    <topic>silhouette tracking</topic>
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Full Metadata

Bibliographic Citation JVRB, 15(2018), no. 3.
Title

Position Estimation and Calibration of Inertial Motion Capture Systems Using Single Camera (eng)
Author Martin Madaras, Adam Riečický, Michal Mesároš, Michal Piovarči, Roman Ďurikovič
Language eng
Abstract The paper proposes a hybrid system for position estimation of a motion capture suit and gloves as well as a method for an automatic skeleton calibration for motion capture gloves. The skeleton calibration works with a single image scan of the hand where the skeleton is fitted. The position estimation is based on a synchronization of an inertial motion capture system and a single camera optical setup. The proposed synchronization uses an iterative optimization of an energy potential in image space, minimizing the error between the camera image and a rendered virtual representation of the scene. For each frame, an input skeleton pose from the mocap suit is used to render a silhouette of a subject. Moreover, the local neighborhood around the last known position is searched by matching the silhouette to the distance transform representation of the camera image based on Chamfer matching. Using the combination of the camera tracking and the inertial motion capture suit, it is possible to retrieve the position of the joints that are hidden from the camera view. Using the proposed hybrid technique, it is possible to capture the position even if it cannot be captured by the suit sensors. Our system can be used for both realtime tracking and off-line post-processing of already captured mocap data.
Subject Motion Capture, glove skeleton calibration, inertial suit, optical system, optical-inertial synchronization, silhouette tracking
Classified Subjects
swd
  • 4546181-8, Motion Capturing
  • 4198763-9, Kalibrieren <Messtechnik>
  • 4366655-3, Kamera
DDC 004
Rights DPPL
URN: urn:nbn:de:0009-6-48214
DOI https://doi.org/10.20385/1860-2037/15.2018.3