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Parallelization strategies for markerless human motion capture
Journal of Real-Time Image Processing, 2014 Markerless Motion Capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is frequently the most time-consuming task, making most of the proposed methods inapplicable in real-time scenarios.
Muñoz-Salinas, Rafael +5 more
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New multi‐view human motion capture framework [PDF]
IET Image Processing, 2020 Estimating human pose and shape without markers is a challenging problem. This study proposes a multiple‐view markerless human motion capture framework. Firstly, a multi‐view camera system is built for capturing real‐time images of moving humans on multiple views.
Yuan Wang +7 more
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Automated assessment of upper extremity movement impairment due to stroke. [PDF]
PLoS ONE, 2014 Current diagnosis and treatment of movement impairment post-stroke is based on the subjective assessment of select movements by a trained clinical specialist.
Erienne V Olesh +2 more
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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.
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Regression-Based Human Motion Capture From Voxel Data [PDF]
Procedings of the British Machine Vision Conference 2006, 2006 A regression based method is proposed to recover human body pose from 3D voxel data. In order to do this we need to convert the voxel data into a feature vector. This is done using a Bayesian approach based on Mixture of Probabilistic PCA that transforms a collection of 3D shape context descriptors, extracted from the voxels, to a compact feature ...
Sun, Y +4 more
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Influence of the Camera Viewing Angle on OpenPose Validity in Motion Analysis
Sensors(1) Background: With human pose estimation on the rise in the field of biomechanics, the need for scientific investigation of those algorithms is becoming evident. The validity of several of those algorithms has been presented in the literature. However,
Melanie Baldinger +2 more
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Sensors, 2021 In the context of human–robot collaborative shared environments, there has been an increase in the use of optical motion capture (OMC) systems for human motion tracking.
Leticia González +3 more
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Video-Based Human Motion Capture Data Retrieval via MotionSet Network
IEEE Access, 2020 Content-based human motion capture (MoCap) data retrieval facilitates reusing motion data that have already been captured and stored in a database. For a MoCap data retrieval system to get practically deployed, both high precision and natural interface ...
Tingxin Ren +5 more
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Human Motion Tracking with Less Constraint of Initial Posture from a Single RGB-D Sensor
Sensors, 2021 High-quality and complete human motion 4D reconstruction is of great significance for immersive VR and even human operation. However, it has inevitable self-scanning constraints, and tracking under monocular settings also has strict restrictions. In this
Chen Liu +4 more
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Real-time Street Human Motion Capture
, 2021 In recent years, motion capture technology using computers has developed rapidly. Because of its high efficiency and excellent performance, it replaces many traditional methods and is being widely used in many fields. Our project is about street scene video human motion capturing and analysis.
Chen, Yanquan +4 more
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