The generation of initial or inflow synthetic turbulent velocity scalar fields reproducing statistical characteristics realistic turbulence is still a challenge. eddy method, previously introduced in the context conditions for large simulations, based on assumption that can be regarded as superposition coherent structures. In this paper, new type method proposed, where fundamental constructed b...

Blob detection is a common task in vision-based applications. Most existing algorithms are aimed at execution on general purpose computers; while very few can be adapted to the computing restrictions present in embedded platforms. This paper focuses on the design of an algorithm capable of real-time blob detection that minimizes system memory consumption. The proposed algorithm detects objects ...

Modelling events is one of the key problems in dynamic scene analysis when salient and autonomous visual changes occuring in a scene need to be characterised effectively as meaningful events. We propose a new approach for modelling such temporal events based on the local intensity temporal history of pixels. The method provides a computationally very effective temporal measure for detecting aut...

Optical character recognition systems have been effectively developed for the recognition of printed characters. Optical character recognition is an awesome computer vision technique with various applications ranging from saving real time scripts digitally and deriving context based intelligence using natural language processing from the texts. One such application is the recognition of machine...

We investigate a method to speed up the O(n) labeling algorithm of Rosenfeld and Pfaltz for segmenting binary images, which is unduly complex for large images. That algorithm searches line-by-line, top to bottom, to assign a blob label to each current pixel that is connected to a blob. A large number K of labels arises of which many are equivalent, so the equivalence must be resolved. This requ...

This paper presents a novel MoG based method for foreground detection and segmentation in video surveillance. Normal MoG is different to deal with the foreground objects that stay in the scene for a long time and segment difficult foreground objects from one blob. We improve MoG by adopting posterior feedback information of Kalman filter tracking, to robustly modeling the background and to perf...

There have been many features developed for images, like Blob, image patches, Gabor filters, etc. But generally the calculation cost is too high. When facing a large image database, their responding speed can hardly satisfy users’ demand in real time, especially for online users. So we developed a new image feature based on a new region division method of images, and named it as ‘stripe’. As pr...