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Human Motion Capture Driven by Orientation Measurements
Presence: Teleoperators and Virtual Environments, 1999Motion-capture techniques are rarely based on orientation measurements for two main reasons: (1) optical motion-capture systems are designed for tracking object position rather than their orientation (which can be deduced from several trackers), (2) known animation techniques, like inverse kinematics or geometric algorithms, require position targets ...
Molet, T., Boulic, R., Thalmann, D.
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Ongoing human action recognition with motion capture
Pattern Recognition, 2014Ongoing human action recognition is a challenging problem that has many applications, such as video surveillance, patient monitoring, human-computer interaction, etc. This paper presents a novel framework for recognizing streamed actions using Motion Capture (MoCap) data.
Barnachon, Mathieu +3 more
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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.
Nicolò Biasi +7 more
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Integration of Motion Capture and EMG data for Classifying the Human Motions
2007 IEEE 23rd International Conference on Data Engineering Workshop, 2007Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multi-joint external movements. Electro-myograph (EMG) signals give the physiologic information of muscles while doing motions. In this paper, our objective is to integrate these two different bio-medical data together and to extract precise and ...
Gaurav N. Pradhan +3 more
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Capture and synthesis of human motion in video sequences
1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175), 2002We present a knowledge-based framework to capture and represent human walkers in video. The system models the human body as an articulated object of twelve rigid body-parts whose motions are almost periodic and subject to dynamic constraints. The resulting representation is compact and composed of the motion, shape, and texture for each of the body ...
Jia-Ching Cheng, José M. F. Moura
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Real-time human motion capturing system
IEEE International Conference on Image Processing 2005, 2005This paper presents a real time vision-based human motion capturing and recognition system using two calibrated CCD cameras. We propose a simple but effective method to estimate the motion parameters (BAPs) of the human object by analyzing the vertical projection profile and the horizontal projection profile in each view to identify different arm and ...
Bau-Cheng Shen +2 more
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Controlling a marionette with human motion capture data
2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2004In this paper, we present a method for controlling a motorized, string-driven marionette using motion capture data from human actors. The motion data must be adapted for the marionette because its kinematic and dynamic properties differ from those of the human actor in degrees of freedom, limb length, workspace, mass distribution, sensors, and ...
Katsu Yamane +2 more
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Markerless human motion capture and pose recognition
2009 10th Workshop on Image Analysis for Multimedia Interactive Services, 2009In this paper, we present an approach to capture markerless human motion and recognize human poses. Different body parts such as the torso and the hands are segmented from the whole body and tracked over time. A 2D model is used for the torso detection and tracking, while a skin color model is utilized for the hands tracking.
Feifei Huo +3 more
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Markless Human Motion Capture by Voxel Labeling
2009 Fifth International Conference on Image and Graphics, 2009We address the issue of markless human motion capture by voxel labeling. We explore the problem of pose estimation from voxel cloud based on a predefined human model. First, voxels are labeled into different individual parts of the body. Then, the joints are extracted from labeled voxels. Finally, the joint angles are estimated from the joints.
Junchi Yan, Jian Liu, Yuncai Liu
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Human motion capture sensors and analysis in robotics
Industrial Robot: An International Journal, 2011PurposeThe purpose of this paper is to provide a review of various motion capture technologies and discuss the methods for handling the captured data in applications related to robotics.Design/methodology/approachThe approach taken in the paper is to compare the features and limitations of motion trackers in common use. After introducing the technology,
Matthew Field +3 more
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