Motion capture is an increasingly popular animation technique; however data acquired by motion capture can become substantial. This makes it difficult to use motion capture data in a number of applications, such as motion editing, motion understanding, automatic motion summarization, motion thumbnail generation, or motion database search and retrieval. To overcome this limitation, we propose an...

introduction: the use of multiple cameras for motion analysis and single joint motion is very difficult and needs high technology in laboratory conditions. detection of single joint motion in kinesthesia and analysis of its changes can be done by one camera at one direction. in this study, we present the validity and reliability of a new prototype simulator system used for motion analysis appli...

We study two-dimensional motion perception in flies using a semicircular visual stimulus. Measurements of both the H1-neuron and the optomotor response are consistent with a simple model supposing spatial integration of the outputs of correlation-type motion detectors. In both experiment and model, there is substantial H1 and horizontal (yaw) optomotor response to purely vertical motion of the ...

Head motion during brain CT studies can adversely affect the reconstructed image through distortion and other artifacts such as blurring and doubling, thereby losing substantial information. In this paper, we propose a method to detect and eliminate motion artifacts in Feldkamp-David-Kress (FDK) based three-dimensional (3D) cone-beam tomography. Motion detection is achieved by comparing the cor...

The motion of an artificial microscale swimmer that uses a chemical reaction catalyzed on its own surface to achieve autonomous propulsion is fully characterized experimentally. It is shown that at short times it has a substantial component of directed motion, with a velocity that depends on the concentration of fuel molecules. At longer times, the motion reverts to a random walk with a substan...

Most of existing techniques to estimate camera motion are based on analysis of the optical flow. However, the estimation of the optical flow supports only a limited amount of scene motion. In this report, we present a novel approach to estimate camera motion based on analysis of local invariant features. Such features are robust across a substantial range of affine distortion. Experiments on sy...

Motion capture data often requires substantial processing before it becomes useful. We propose a technique that automatically distills a compact motion graph from an arbitrary collection of motion capture data. At its heart, the process identifies clusters of similar motions which we call “motion bundles”. Motion bundles and their encompassing motion graph provide a readily understandable struc...

The ongoing research in Distributed Video Coding (DVC) for low complexity encoding is trying to shorten the substantial performance gap to well known state-of-the-art coders. One of the reasons for this gap is the motion estimation without the reference frame. In this paper we look at what motion estimation to use. Furthermore we compare the two possible methods to get a motion compensated pred...

Like all resting-state functional connectivity data, the data from the Human Connectome Project (HCP) are adversely affected by structured noise artifacts arising from head motion and physiological processes. Functional connectivity estimates (Pearson’s correlation coefficients) were inflated for high-motion time points and for highmotion participants. This inflation occurred across the brain, ...

BACKGROUND The assessment of myocardial motion with tissue phase mapping (TPM) provides high spatiotemporal resolution and quantitative motion information in three directions. Today, whole volume coverage of the heart by TPM encoding at high spatial and temporal resolution is limited by long data acquisition times. Therefore, a significant increase in imaging speed without deterioration of the ...