نتایج جستجو برای: motion tracking

تعداد نتایج: 314030  

2011
Laura E. Thomas Adriane E. Seiffert

Perhaps walking and chewing gum is effortless, but walking and tracking moving objects is not. Multiple object tracking is impaired by walking from one location to another, suggesting that updating location of the self puts demands on object tracking processes. Here, we quantified the cost of self-motion in terms of the tracking load. Participants in a virtual environment tracked a variable num...

Journal: :Behavior research methods 2013
Ulf H Schnabel Michael Hegenloh Hermann J Müller Michael Zehetleitner

Electromagnetic motion-tracking systems have the advantage of capturing the tempo-spatial kinematics of movements independently of the visibility of the sensors. However, they are limited in that they cannot be used in the proximity of electromagnetic field sources, such as computer monitors. This prevents exploiting the tracking potential of the sensor system together with that of computer-gen...

2015
Bradley J. Nelson Pradeep Khosla

This paper presents a control strategy which allows a manipulator/ camera system to track objects with planar motion while simultaneously avoiding kinematic singularities by moving in directions along which the tracking task space is unconstrained. The projection of a cartesian manipulability gradient on these directions of motion is used to determine the magnitude and direction of the required...

Journal: :Physics in medicine and biology 2012
D Sawkey M Svatos C Zankowski

Strategies for delivering radiation to a moving lesion each require a margin to compensate for uncertainties in treatment. These motion margins have been determined here by separating the total uncertainty into components. Probability density functions for the individual sources of uncertainty were calculated for ten motion traces obtained from the literature. Motion margins required to compens...

Journal: :Neuron 2000
Jody C. Culham Frans A.J. Verstraten Hiroshi Ashida Patrick Cavanagh

In the motion aftereffect (MAE), a stationary pattern appears to move in the opposite direction to previously viewed motion. Here we report an MAE that is observed for a putatively high level of visual analysis-attentive tracking. These high-level MAEs, visible on dynamic (but not static) tests, suggest that attentive tracking does not simply enhance low-level motion signals but, rather, acts a...

2010
R. Lüchtenborg N. Saito N. Chaudhri M. Durante N. Kurz E. Rietzel

Beam tracking is the potentially most conformal motion mitigation technique in scanned ion beam therapy. For translational motion, beam tracking has been shown to be feasible precisely [1]. If rotational or even deformable motion is present, dose deposition changes even if beam tracking is applied because beam tracking adapts the Bragg peak position only. Dose deposition to other regions, mainl...

Journal: :Vision Research 1995
Ari Z. Zivotofsky Lea Averbuch-Heller Cecil W. Thomas Vallabh E. Das Alfred O. Discenna R. John Leigh

We compared ocular and eye-head tracking responses to an illusion of diagonal motion produced when vertical movement of a small visual target was synchronized to horizontal movement of a background display. In response to sinusoidal movement, smooth ocular pursuit followed vertical target motion, with only a small horizontal component. In response to regular stepping movement, all anticipatory ...

2003
Shiloh L. Dockstader Nikita S. Imennov A. Murat Tekalp

This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event and describe its temporal characteristics using a hidden Markov model (HMM). This stochastic model is trained using previous examples of tracking failures. We derive vector observations for the HMM using the noise cov...

2015
Navneet Pal Kaur Shashi Bhushan Manish Mahajan

Visual object tracking is the active area of research in the computer vision. Various techniques have being developed for the object tracking .Particle filter deals with the tracking of the objects having non linear motion .Particle filter has been used in for various fields and application efficiently. Proposed Technique is based on combination of kalman filter, mean shift and particle filter....

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