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True myocardial motion tracking
Magnetic Resonance in Medicine, 1994AbstractMyocardial tagging is a powerful tool for the assessment of in‐plane cardiac motion. However, for previous myocardial tagging techniques, the imaged slice is fixed with respect to the magnet coordinate system. Thus, images acquired at different heart phases do not always represent the same slice of the myocardium.
S E, Fischer +5 more
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Can Illusory Motion Disrupt Tracking Real Motion?
Perception, 1997When rotating stripes or other periodic stimuli cross the retina at a critical rate, a reversal in the direction of motion of the stimuli is often seen. This illusion of motion perception was used to explore the roles of retinal and perceived motion in the generation of optokinetic nystagmus. Here we show that optokinetic nystagmus is disrupted during
T J, Andrews, A N, McCoy
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Stabilizing motion tracking using retrieved motion priors
2009 IEEE 12th International Conference on Computer Vision, 2009In this paper, we introduce a novel iterative motion tracking framework that combines 3D tracking techniques with motion retrieval for stabilizing markerless human motion capturing. The basic idea is to start human tracking without prior knowledge about the performed actions.
Baak, A. +3 more
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Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects, 2002
We describe a computer system that allows real-time tracking of facial expressions. Sparse, fast visual measurements using 2D templates are used to observe the face of a subject. Rather than track features on the face, the distributed response of a set of templates is used to characterize a given facial region.
I.A. Essa, T. Darrell, A. Pentland
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We describe a computer system that allows real-time tracking of facial expressions. Sparse, fast visual measurements using 2D templates are used to observe the face of a subject. Rather than track features on the face, the distributed response of a set of templates is used to characterize a given facial region.
I.A. Essa, T. Darrell, A. Pentland
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2005 IEEE International Conference on Systems, Man and Cybernetics, 2006
This paper addresses the problem of template-based tracking of non rigid objects. We use the well-known framework of auxiliary particle filtering and propose an observation model that explicitly addresses appearance changes that are caused by local deformations of the tracked object.
I. Patras, M. Pantic
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This paper addresses the problem of template-based tracking of non rigid objects. We use the well-known framework of auxiliary particle filtering and propose an observation model that explicitly addresses appearance changes that are caused by local deformations of the tracked object.
I. Patras, M. Pantic
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Motion Tracking for Volumetric Motion Capture Data
2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW), 2019Motion capture is often used to study the biomechanics of human motion. The first step in this type of research is to process and retrieve biomechanical data from the motion capture data. In this paper, we introduce a new method to dynamically track joint locations in volumetrically captured human motion sequences.
Derek Roberts, Ying Zhu
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Neural Architectures for Motion Tracking
1993The goal of a visual tracking system is to evaluate the motion parameters of an object in a scene. The present research approaches this problem from a connectionist perspective, aiming at an effective methodology with the fewest assumptions on the observed domain.
D'Agnese L +3 more
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