the radar tracking is one of the best leo satellite tracking methods. while the tracking filters which are mostly linear, and them are not able to have a precise estimation of the objects with nonlinear motion dynamic such as satellite, we should use nonlinear filters. in this paper , firstly, we deal with the problem of the leo satellites motion path modeling according to the satellite motion ...

This paper addresses the application of active contours or snakes for tracking of contours in image sequences. We propose to use the dynamic programming implementation of the snakes in order to restrict the possible candidates for a given snaxel to those that have a high correlation with the corresponding snaxel in the previous frame. Besides, we claim that, in tracking applications, the motion...

In this paper, we present a robust method to estimate the three-dimensional ego-motion of an observer moving in a static environment. This method combines the optical ow elds observed with multiple cameras to avoid the ambiguity of 3-D motion recovery due to small eld of view and small depth variation in the eld of view. Two residual functions are proposed to estimate the ego-motion for diieren...

In this study sub-pixel motion estimation using one-bit transform is presented. The utilization of low bit depth representations for full-pixel motion estimation exist in the literature [1,7]. However sub-pixel motion estimation employing these kinds of transforms has not been tried until now. In this paper, it is shown that one-bit transform can also be utilized for sub-pixel motion estimation...

The purpose of this paper is to provide an algorithm for the motion picture companies to evaluate the key capabilities from firm viewpoint under fuzzy environment. The fundamental concepts we have adopted include the eigenvector method, fuzzy Delphi method, fuzzy set theory, and multi-criteria decision making method. With the concept of balanced scorecard and the interviewing managers of motion...

Value at Risk (VaR) is a popular measure for quantifying the market risk that a financial institution faces into a single number. Due to the complexity of financial markets, the risks associated with a portfolio may vary over time. For accurate VaR estimation, it is necessary to have flexible methods that adapt to the underlying data distribution. In this paper, we consider VaR estimation by us...

This paper deals with the problem of testing hypothesis when both the hypotheses and the available data are fuzzy. First, four different kinds of fuzzy hypotheses are defined. Then, a procedure is developed for constructing the fuzzy point estimation based on fuzzy data. Also, the concept of fuzzy test statistic is defined based on the α-cuts of the fuzzy null hypothesis and the α-cuts of the c...

Since the T-S fuzzy system can approximate any nonlinear system with arbitrary accuracy, it is also expected to be a suitable approach to observe the states of a stochastic nonlinear system. Up to date, a few state estimators for stochastic T-S fuzzy systems have been proposed and applied to various fields without rigorous proof. In this paper, we first derive a sufficient condition based on th...