This paper proposes a novel online domain-shift appearance learning and object tracking scheme on a Riemannian manifold for visual and infrared videos, especially for video scenarios containing large deformable objects with fast out-of-plane pose changes that could be accompanied by partial occlusions. Although Riemannian manifolds and covariance descriptors are promising for visual object trac...

The uncertainty management problem is one of the key issues associated with moving objects (MOs). Minimizing the uncertainty region size can increase both query accuracy and system performance. In this paper, we propose an uncertainty model called the Truncated Tornado model as a significant advance in minimizing uncertainty region sizes. The Truncated Tornado model removes uncertainty region s...

The large supercluster structures obvious in recent galaxy redshift surveys are quantified using an one-dimensional cluster analysis (core sampling) and a three-dimensional cluster analysis based on the minimal spanning tree. The comparison with the LCRS reveals promising stable results. At a mean overdensity of about ten, the supercluster systems form huge wall-like structures comprising about...

We model the spectral changes of late oxygen-rich Miras observed in diierent pulsation phases. From a combination of variable near-IR spectra and UKIRT spectro-photometry of the 9:7 m silicate dust emission feature in diierent phases we study the innuence of the changing atmospherical circumstances on the conditions in the circumstellar dust shell. From a detailed modelling of TiO and VO bands ...

Introduction:In this study, a non-invasive method based on consecutive ultrasonic image processing is introduced to assess time rate changes of the carotid artery wall displacement, velocity and acceleration in the longitudinal direction. The application of these parameters to discriminate healthy and atherosclerotic arteries was evaluated. Methods:Longitudinal displacement rate of common ...