Results 261 to 270 of about 118,196 (306)

Motion capture: capturing interaction between human and animal

The Visual Computer, 2014
We introduce a new "marker-based" model for use in capturing equine movement. This model is informed by a sound biomechanical study of the animal and can be deployed in the pursuit of many undertakings. Unlike many other approaches, our method provides a high level of automation and hides the intricate biomechanical knowledge required to produce ...
Abson, Karl, Palmer, Ian J.
openaire   +3 more sources

Ongoing human action recognition with motion capture

Pattern Recognition, 2014
Ongoing 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, Bouakaz, Saida, Boufama, Boubakeur, Guillou, Erwan   +3 more
openaire   +2 more sources

Garment-based motion capture (GaMoCap): high-density capture of human shape in motion

Machine Vision and Applications, 2015
This 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, Francesco Setti, Alessio Del Bue, Mattia Tavernini, Massimo Lunardelli, Alberto Fornaser, Mauro Da Lio, Mariolino De Cecco   +7 more
openaire   +3 more sources

Controlling a marionette with human motion capture data

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2004
In 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, Jessica K. Hodgins, H. Benjamin Brown   +2 more
openaire   +1 more source

Markerless human motion capture and pose recognition

2009 10th Workshop on Image Analysis for Multimedia Interactive Services, 2009
In 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, Emile A. Hendriks, Pavel Paclík, Augustinus H. J. Oomes   +3 more
openaire   +1 more source

Human motion capture sensors and analysis in robotics

Industrial Robot: An International Journal, 2011
PurposeThe 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, Zengxi Pan, David Stirling, Fazel Naghdy   +3 more
openaire   +2 more sources

Capture and synthesis of human motion in video sequences

1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175), 2002
We 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
openaire   +1 more source

Real-time human motion capturing system

IEEE International Conference on Image Processing 2005, 2005
This 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, Huang-Chia Shih, Chung-Lin Huang   +2 more
openaire   +1 more source

Toward Human Motion Digital Twin: A Motion Capture System for Human-Centric Applications

IEEE Transactions on Automation Science and Engineering
Huiying Zhou, Gaoyang Pang, Huimin Shen   +2 more
exaly   +2 more sources

Markless Human Motion Capture by Voxel Labeling

2009 Fifth International Conference on Image and Graphics, 2009
We 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
openaire   +1 more source