In a global numerical weather prediction (NWP) modeling framework we study the implementation of Gaussian uncertainty individual particles into assimilation step localized adaptive particle filter (LAPF). We obtain local representation prior distribution as mixture basis functions. step, calculates weight coefficients and new locations. It can be viewed combination LAPF version filter, i.e., Lo...

Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard d...

one of the main problems in micro irrigation system is inappropriate combination and in some cases inappropriate performance of filters and sand tanks in central control systems which cause reduction in efficiency of system and increasing of operating costs. this study evaluates affect the amount of algae on the performance of disc filters sand tank in research farm deputy of soil and water and...

In this paper, we propose a fast combined separability filter, which can selectively detect circular features such as pupils and nostrils in an image of the human face. The proposed filter is designed as a combination of multiple rectangle separability filters so that it can achieve high-speed processing and high positioning accuracy at the same time. The evaluation experiments using synthetic ...

In this paper we present the linear combination of a fuzzy opening and closing filter with locally adaptive structuring elements that can preserve the geometrical features of an image. Based on the adaptation algorithm of linear combination of the fuzzy opening and closing filter, the optimal structuring element for image representation is obtained. The optimal structuring element is an indicat...

Particle filters are a powerful and widely used visual tracking technology. Their strength lies in their ability to represent multi-modal probability distributions that capture and maintain multiple hypotheses about target properties. A potential weakness, however, is that the particle set can become diffused, dispersing across the image plane rather than clustering around the target. A number ...

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....

The marginalized particle filter is a powerful combination of the particle filter and the Kalman filter, which can be used when the underlying model contains a linear sub-structure, subject to Gaussian noise. This paper outlines the marginalized particle filter and very briefly hint at possible generalizations, giving rise to a larger family of marginalized nonlinear filters. Furthermore, we an...