This paper studies the injection process into a storage ring and presents an analytic model for the nonstationary particle distribution after m ismatched or off-axis injection. The effects of nonlinear fields as well as coupling to the longitudinal motion are described by analytic expressions for the first moments of the particle distribution. The result contains two distinct approximations: fi...

Recognition of human actions is an emerging need. Various researchers have endeavored to provide a solution to this problem. Some of the current state-of-the-art solutions are either inaccurate or computationally intensive while others require human intervention. In this paper a sufficiently accurate while computationally inexpensive solution is provided for the same problem. Image moments whic...

In this paper, we show that the Exponent-Fourier moments (EFMs), as defined in Ref. [1] are imprecise and the radial function of EFMs performs numerically unstable. At last, an improvement of ExponentFourier moments (IEFMs) is given for avoiding the above problems. Experimental results also show the superiority of the proposed methods. & 2014 Elsevier Ltd. All rights reserved. 1. Imprecision of...

It is well known that for the simpler problem of constructing translation invariants of grey scale images (1D, 2D or 3D) central moments can be used. There are plain closed formulae expressing them in terms of the ordinary geometrical moments. Moreover, central moments are ordinary moments of the properly normalized image. In this paper we present moment invariants for the more involved problem...

We express the total equation of state parameter of a spatially flat FriedmanRobertson-Walker universe in terms of derivatives of the red-shift dependent spinweighted angular moments of the two-point correlation function of the three dimensional cosmic shear. We first express the total equation of state parameter in terms of the growing mode of the gauge invariant metric perturbation in the con...

The Schramm-Loewner evolution (SLE) is a one-parameter family of conformally invariant processes that are candidates for scaling limits for two-dimensional lattice models in statistical physics. Analysis of SLE curves requires estimating moments of derivatives of random conformal maps. We show how to use the Girsanov theorem to study the moments for the reverse Loewner flow. As an application, ...

This paper presents a biometric technique for identification of a person using the iris image. The iris is first segmented from the acquired image of an eye using an edge detection algorithm. The disk shaped area of the iris is transformed into a rectangular form. Described moments are extracted from the grayscale image which yields a feature vector containing scale, rotation, and translation i...

New Zernike velocity moments have been developed to describe an object, not only by its shape , but also by its motion throughout an image sequence. These are an extended form of the orthogonal Zernike moment set and include velocity information introduced via centralised moments. Initial analysis shows that they perform well when applied to analysing gait sequences resulting in a good recognit...

Action recognition is an interesting problem and has many applications like surveillance, sign recognition, gesture and emotion recognitions. Many solutions to the problem have been suggested by various researchers. In this article a comparative study is performed between such most popular techniques. Various techniques are analyzed which make use of complex models like Discrete Wavelet Transfo...

We generally study the density of eigenvalues in unitary ensembles of random matrices from the recurrence coefficients with regularly varying conditions for the orthogonal polynomials. First we calculate directly the moments of the density. Then, by studying some deformation of the moments, we get a family of differential equations of first order which the densities satisfy (see Theorem 1.2), a...