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Motion capture
Known as:
Marker motion capture
, Capture
, Mo-cap
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Motion capture (Mo-cap for short) is the process of recording the movement of objects or people. It is used in military, entertainment, sports…
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Related topics
Related topics
49 relations
Broader (1)
3D computer graphics
3D film
Adam Powers, The Juggler
Articulated body pose estimation
Avengers: Age of Ultron
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Toward a human-like locomotion: Modelling dynamically stable locomotion of an anthropomorphic robot in simulink environment
R. Khusainov
,
Ilya Shimchik
,
Ilya M. Afanasyev
,
E. Magid
International Conference on Informatics in…
2015
Corpus ID: 12485417
In the near future anthropomorphic robots will turn into an important part of our everyday routine. To successfully perform…
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Highly Cited
2013
Highly Cited
2013
Fast FPGA-Based Multiobject Feature Extraction
Qingyi Gu
,
T. Takaki
,
I. Ishii
IEEE transactions on circuits and systems for…
2013
Corpus ID: 33504545
This paper describes a high-frame-rate (HFR) vision system that can extract locations and features of multiple objects in an…
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Highly Cited
2010
Highly Cited
2010
Active Appearance Model
Jia Pei
2010
Corpus ID: 177973054
As one the most important human-computer interfaces (HCI), face recognition has been researched over decades. Particularly…
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Highly Cited
2005
Highly Cited
2005
Novel pixel architecture with inherent background suppression for 3D time-of-flight imaging
T. Oggier
,
R. Kaufmann
,
+7 authors
N. Blanc
2005
Corpus ID: 121819064
The time-of-flight (TOF) principle is a well known principle to acquire a scene in all three dimensions. The advantages of the…
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Highly Cited
2004
Highly Cited
2004
3D head tracking based on recognition and interpolation using a time-of-flight depth sensor
Salih Burak Göktürk
,
Carlo Tomasi
Proceedings of the IEEE Computer Society…
2004
Corpus ID: 5360688
This paper describes a head-tracking algorithm that is based on recognition and correlation-based weighted interpolation. The…
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2004
2004
Accuracy of motion correction methods for PET brain imaging
R. Fulton
,
L. Tellmann
,
+6 authors
H. Herzog
IEEE Symposium Conference Record Nuclear Science…
2004
Corpus ID: 43995635
Recently published methods for motion correction in neurological PET include the multiple acquisition frame (MAF) and LOR…
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2003
2003
Event-by-event motion compensation in 3D PET
R. Fulton
,
I. Nickel
,
L. Tellmann
,
S. Meikle
,
U. Pietrzyk
,
H. Herzog
IEEE Nuclear Science Symposium Conference Record
2003
Corpus ID: 22471693
Motion compensation in brain PET using a multiple acquisition frame (MAF) method in conjunction with an optical motion tracking…
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2003
2003
Dynamics Computation of MusculoSkeletal Human Model Based on E cient Algorithm for Closed Kinematic Chains
Yoshihiko Nakamura
,
K. Yamane
,
I. Suzuki
,
Y. Fujita
2003
Corpus ID: 174769876
We have developed an e cient algorithm for dynamics computation of closed kinematic chains in the eld of robotics. We applied it…
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Highly Cited
2002
Highly Cited
2002
Capturing human hand motion in image sequences
John Y. Lin
,
Ying Wu
,
Thomas S. Huang
Workshop on Motion and Video Computing…
2002
Corpus ID: 11316249
Visually capturing human hand motion requires estimating the 3D hand global pose as well as its local finger articulations. This…
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2001
2001
Using Geometric Algebra for Optical Motion Capture
Joan Lasenby
,
Adam X. S. Stevenson
2001
Corpus ID: 120287817
Optical motion capture refers to the process by which accurate 3D data from a moving subject is reconstructed from the images in…
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