Plasma blob dynamics on the high-field side in the proximity of a magnetic field null (X point) is investigated in TORPEX. A significant acceleration of the blobs towards the X point is observed. Close to the X point the blobs break apart. The E×B drifts associated with the blobs are measured, isolating the background drift component from the fluctuating contribution of the blob internal potent...

We estimated spatial summation areas for the detection of luminance-modulated (LM) and contrast-modulated (CM) blobs at the fovea, 2.5, 5 and 10 deg eccentrically. Gaussian profiles were added or multiplied to binary white noise to create LM and CM blob stimuli and these were used to psychophysically estimate detection thresholds and spatial summation areas. The results reveal significantly lar...

The striate cortex of macaque monkeys contains an array of patches which stain heavily for the enzyme cytochrome oxidase (CO blobs). Cells inside and outside these blobs are often described as belonging to two distinct populations or streams. In order to better understand the function of the CO blobs, we measured the contrast sensitivity and spatial frequency response of single neurons in and a...

This paper presents an approach to classify static foreground blobs in surveillance scenarios. Possible application is the detection of abandoned and removed objects. In order to classify the blobs, we developed two novel features based on the assumption that the neighborhood of a removed object is fairly continuous. In other words, there is a continuity, in the input frame, ranging from inside...

This paper generalizes Lyaponov functionals to the local setting, and it is shown that they may serve as a connection between Florack's et al. pseudo-linear scale-spaces and Koenderink's et al. local soft histograms. A generalized scale-selection method is proposed based on local Lyaponov functionals and local soft histograms, and it is shown that the method includes Lindebergs's Blob-detector ...

Iris image quality assessment is an important part of iris recognition system because the qualities of iris images would largely influence the recognition results. In this paper, we analyze and compare several representative quality assessment methods, and then propose an effective method based on Laplacian of Gaussian operator for iris image assessment. Through computer simulations of several ...

In this paper, a new technique based on slicing the images to equally sub-areas, then applying the density slicing to the color histogram of these areas combined with the color pair technique is presented as a filtration phase based on the color features of images. This allows dramatic reduction in the candidate sets of images, which needs to be proceed through the time-consuming process of sha...

Object tracking algorithms found extensively in the computer vision literature either are inhibited by various assumptions such as simplicity of motion and shape characteristics of objects or are overly sensitive to noise. We propose and successfully test two new weighting functions for a feature-based object-tracking algorithm to achieve superior performance in tracking motion of non-rigid obj...

In this paper we describe a novel approach, called improbability filtering, to rejecting false-positive observations from degrading the tracking performance of an Extended Kalman-Bucy fdter. False-positives, incorrect observations reported with a high confidence, are a form of non-Gaussian white noise and therefore degrade the tracking performance of an Extended Kalman-Bucy Filter. Improbabilit...