Results 211 to 220 of about 109,569 (259)

Video based human motion capture

1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451), 1999
Proposes a new approach to capture human motion in video. This approach does not aim at a given human motion mode, but instead analyzes large-scale motion from frame to frame in a complex variational background and sets up a 3D motion skeleton under perspective projection. This approach is composed of two steps.
Xiaoming Liu 0002, Yueting Zhuang, Yi Wu 0012, Yunhe Pan   +3 more
openaire   +1 more source

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

Human Motion Capture Driven by Orientation Measurements

Presence: Teleoperators and Virtual Environments, 1999
Motion-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.
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

Integration of Motion Capture and EMG data for Classifying the Human Motions

2007 IEEE 23rd International Conference on Data Engineering Workshop, 2007
Three 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, Navzer D. Engineer, Mihai Nadin, Balakrishnan Prabhakaran 0001   +3 more
openaire   +1 more source

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