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From Methods to Applications: A Review of Deep 3D Human Motion Capture
IEEE transactions on circuits and systems for video technology (Print)Motion capture technology is crucial in various applications like animation, virtual reality and sports analysis. With the development of deep learning methods, significant progress has been experienced in this field, producing cost-effective and user ...
Zehai Niu +5 more
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Digital Humans and Electromagnetic Motion Capture
SAE Technical Paper Series, 2000<div class="htmlview paragraph">This paper discusses the cooperative research and development work between Delphi Automotive Systems (formerly known as Delphi Interior & Lighting Systems) and the U.S. Army TACOM/TARDEC. Discussion will focus on past work and the evolution of the approaches currently being used by TARDEC and Delphi for ...
Kyle J. Nebel, Andrew Yee
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Model-Based Human Motion Capture
2005Human motion analysis is a challenging research area aimed at automating the study of human behavior. An important part of any such system is the component that performs the Human Motion Capture (HMC); in order for human motion to be processed and semantically analyzed, a mathematical representation of the observed motion needs to be extracted.
I. Kakadiaris, C. Barrón
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Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles
IEEE International Conference on Computer Vision, 2019Capturing human motion in natural scenarios means moving motion capture out of the lab and into the wild. Typical approaches rely on fixed, calibrated, cameras and reflective markers on the body, significantly limiting the motions that can be captured ...
Nitin Saini +7 more
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A method of automatically generating Labanotation from human motion capture data
International Conference on Pattern Recognition, 2018This paper presents a method of automatically generating Labanotation scores from human motion capture data. Up to now the main acquisition of Labanotation is manual recording by the professionals.
Jiaji Wang, Z. Miao
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Garment-based motion capture (GaMoCap): high-density capture of human shape in motion
Machine Vision and Applications, 2015This paper presents a new motion capture (MoCap) system, the garment-based motion capture system--GaMoCap. The key feature is the use of an easily wearable garment printed with colour-coded pattern and a generic multicamera setup with standard video cameras.
Biasi, Nicolò +7 more
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Visual-Interactive Semi-Supervised Labeling of Human Motion Capture Data
Visualization and Data Analysis, 2017The characterization and abstraction of large multivariate time series data often poses challenges with respect to effectiveness or efficiency. Using the example of human motion capture data challenges exist in creating compact solutions that still re ...
J. Bernard +5 more
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Hierarchical human motion recognition by using motion capture system
2018 International Workshop on Advanced Image Technology (IWAIT), 2018Service robots are requested to move promptly according to the motion of human. For that, it is necessary to realize accurate recognition of motion. This paper proposes a method to hierarchically perform rough motion recognition and fine movement recognition. First, various kinds of actions are roughly classified by threshold processing based on a rule
Ryo Arai, Kazuhito Murakami
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Energy description of human motion capture data
2008 9th International Conference on Signal Processing, 2008In this paper, we present a novel energy-based model to describe human motion. According to biomechanics attribute of human body, we define kinetic and potential energy for each joint, upon which we convert the trajectory-based description of human motion into multi-dimensional energy series.
null Lin Feng +3 more
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Egocentric human motion capture
The human motion capture (mocap) technology has wide applications, especially in entertainment, sports analysis, and human-computer interactions. Among the motion capture techniques, egocentric motion capture provides a unique perspective from the individual's point of view. Being able to capture human motion in an unconstrained environment, egocentricopenaire +2 more sources