Results 31 to 40 of about 367,868 (274)

3D Human Motion Capture Method Based on Computer Vision

open access: yesAdvanced Engineering Research, 2023
Introduction. The analysis of approaches to tracking the human body identified problems when capturing movements in a three-dimensional coordinate system. The prospects of motion capture systems based on computer vision are noted.
A. D. Obukhov   +3 more
doaj   +1 more source

Enhancing silhouette-based human motion capture with 3D motion fields [PDF]

open access: yes11th Pacific Conference onComputer Graphics and Applications, 2003. Proceedings., 2004
High-quality nonintrusive human motion capture is necessary for acquisition of model-based free-viewpoint video of human actors. Silhouette-based approaches have demonstrated that they are able to accurately recover a large range of human motion from multiview video.
C. Theobalt, J. Carranza, M.A. Magnor
openaire   +1 more source

CUDA Acceleration of 3D Dynamic Scene Reconstruction and 3D Motion Estimation for Motion Capture

open access: yes2012 IEEE 18th International Conference on Parallel and Distributed Systems, 2012
Tracking of 3D human body movement from multiple camera video streams is an important problem in the domain of computer vision. In this paper we perform body pose tracking in 3D space using 3D data reconstructed at every frame. We present an efficient GPU-based method for 3D reconstruction of the real world dynamic scenes.
Zhang, Zheng, Seah, Hock Soon
openaire   +2 more sources

Minimal detectable difference of the finger and wrist range of motion: comparison of goniometry and 3D motion analysis

open access: yesJournal of Orthopaedic Surgery and Research, 2019
Background The measurement of finger and wrist range of motion (ROM) is of great importance to clinicians when assessing functional outcomes of therapeutic interventions and surgical procedures. The purpose of the study was to assess the repeatability of
Lisa Reissner   +5 more
doaj   +1 more source

Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras

open access: yesFrontiers in Sports and Active Living, 2020
There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance.
Nobuyasu Nakano   +9 more
doaj   +1 more source

Real-Time Human Motion Capture Driven by a Wireless Sensor Network

open access: yesInternational Journal of Computer Games Technology, 2015
The motion of a real object model is reconstructed through measurements of the position, direction, and angle of moving objects in 3D space in a process called “motion capture.” With the development of inertial sensing technology, motion capture systems ...
Peng-zhan Chen   +3 more
doaj   +1 more source

Gait data from 51 healthy participants with motion capture, inertial measurement units, and computer vision

open access: yesData in Brief
We present a dataset comprising motion capture, inertial measurement unit data, and sagittal-plane video data from walking at three different instructed speeds (slow, comfortable, fast).
Jere Lavikainen   +6 more
doaj   +1 more source

OPTIMALISASI GERAK ANIMASI MODERN DANCE PADA TEKNOLOGI MOTION CAPTURE DENGAN TEKNIK MOTION LAYER MENGGUNAKAN ICLONE 6 PRO

open access: yesJurnal Ilmiah Informatika, 2018
Motion Capture is an attractive technology for making a movement in the making of movies and games. This technique relies on the recording and motion sampling of an object as data to be transform into 3D form.The purpose of this paper will explain how to
Yosua Jonathan Taringan   +2 more
doaj   +1 more source

Comparison of OnBaseU Tests with Biomechanical Motion Analysis in Youth Baseball Pitchers

open access: yesInternational Journal of Sports Physical Therapy, 2021
# Background The OnBaseU screen was developed to evaluate a baseball pitcher’s ability to perform movement patterns key to pitching. However, due to lack of validation, it is unclear what application is ideal for this screen.
Tessa Hulburt   +2 more
doaj   +1 more source

Deep representation learning for human motion prediction and classification

open access: yes, 2017
Generative models of 3D human motion are often restricted to a small number of activities and can therefore not generalize well to novel movements or applications.
Black, Michael   +3 more
core   +1 more source

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