Scene modeling is the starting point and thus the most crucial stage for many vision-based systems involving tracking or recognition. Most of the existing approaches attempt at solving this problem by making some simplifying assumptions such as that of a stationary background. However, this might not always be the case, as swaying trees or ripples in the water often violate these assumptions. I...

A transversal of a family .Fof sets is a family of pairwise distinct elements, one from each member of .y , and a multitransversal of .IF is a family of pairwise disjoint subsets, one of each member of F . The main result of this note, Theorem 4, gives necessary and sufficient conditions on families sa/ and .4 of cardinals in order that every family J whose members have cardinals given by sl sh...

In recent years there has been considerable interest in the synthesis and separation of enantiomers of organic compounds especially because of their importance in the biochemistry and pharmaceutical industry. High-performance liquid Chromatography is a very useful method for the direct separation of enantiomers. However, about 30−40 years ago, commercially available chiral stationary phases wer...

For complex perceptual tasks that are char acterized by object occlusion and non stationarity recognition systems with adaptive signal processing front ends have been devel oped These systems rely on hand crafted sym bolic object models which constitutes a knowl edge acquisition bottleneck We propose an ap proach to automate object model acquisition that relies on the detection and resolution o...

A novel micro-electro-mechanical systems (MEMS) inertial microswitch with a flexible contact-enhanced structure to extend the contact duration has been proposed in the present work. In order to investigate the stiffness k of the stationary electrodes, the stationary electrodes with different shapes, thickness h, width b, and length l were designed, analyzed, and simulated using ANSYS software. ...

For surveillance applications or for human-computer interaction, the automated real-time tracking of moving objects in images from a stationary camera can be very useful. In this chapter we describe a novel method for object tracking which works in real-time using standard hardware. The object tracking algorithm uses an improved adaptive version of an existing robust motion detection method and...

We propose a hybrid approach to temporal anomaly detection in user-database access data — or more generally, any kind of subject-object co-occurrence data. Our methodology allows identifying anomalies based on a single stationary model, instead of requiring a full temporal one, which would be prohibitive in our setting. We learn our low-rank stationary model from the high-dimensional training d...

This paper considers a nonparametric time series regression model with a nonstationary regressor. We construct a nonparametric test for testing whether the regression is of a known parametric form indexed by a vector of unknown parameters. We establish the asymptotic distribution of the proposed test statistic. Both the setting and the results differ from earlier work on nonparametric time seri...

A method combining an adaptive quad/octree spatial discretisation, geometrical Volume-OfFluid interface representation, balanced-force continuum-surface-force surface tension formulation and height-function curvature estimation is presented. The extension of these methods to the quad/octree discretisation allows adaptive variable resolution along the interface and is described in detail. The me...

This paper describes a planned program of investigation designed to determine what characteristics are signficant in predicting performance of students used as subjects in IT system penetration testing testbeds. In large part the experimental design replicates an earlier study by Jonsson et al., and extends that study to include factors describing the attacking subjects. In this way the propose...