In a video surveillance system, moving object detection is the most challenging problem especially if the system is applied in complex environments with variable lighting, dynamic and articulate scenes, etc.. Furthermore, a video surveillance system is a real-time application, so discouraging the use of good, but computationally expensive, solutions. This paper presents a set of improvements of...

A new partial wave analysis of pion photoproduction has been obtained in the framework of fixed-t dispersion relations valid form threshold up to 500 M eV. It is based on new Mainz data for π • and π + production off the proton and both older and more recent data from Bonn, Frascati and TRIUMF for π + and π −. At threshold we obtain a good agreement with the existing data for both charged and n...

In this paper, we address the problem of moving object segmentation using background subtraction. Solving this problem is very important for many applications: visual surveillance of both in outdoor and indoor environments, traffic control, behavior detection during sport activities, and so on. All these applications require as a first step, the detection of moving objects in the observed scene...

The spectral distortion of the cosmic background radiation produced by the inverse Compton scattering on hot electrons in clusters of galaxies (thermal Sunyaev–Zel'dovich effect) is calculated for arbitrary optical depth and electron temperature. The distortion is found by a numerical solution of the exact Boltzmann equation for the photon distribution function. In the limit of small optical de...

We model the development of the linear complexity of multisequences by a stochastic infinite state machine, the Battery–Discharge– Model, BDM. The states s ∈ S of the BDM have asymptotic probabilities or mass μ∞(s) = P(q,M) −1 ·q−K(s), whereK(s) ∈ N0 is the class of the state s, and P(q,M) = ∑ K∈N0 PM (K)q −K = ∏M i=1 q i/(qi − 1) is the generating function of the number of partitions into at m...

Background Process models offer opportunities to explore the effectiveness of different program and policy alternatives by varying input behaviors and model parameters to reflect programmatic/policy effects. Methods Traditional theoretical HIV models set modeling parameters a priori and a small change in model parameters often gives widely varying results for the same behavioral inputs. The Asi...

This project proposes a methodology for 3D tracking of objects in relation to a planar surface, with trajectory accuracy enhanced using applied statistical analysis. Planar surface extraction, with camera position and orientation invariance, is achieved by finding limiting regions established by graph-based segmentation and mapping the resulting segments to disparity data from a stereo camera. ...

Case-control studies for association are widely used for finding genetic variants causally associated with phenotypes. Unfortunately, population structure can induce false positives. For instance, if cases and controls have different genetic backgrounds, differences in frequencies of distinct forms of variants might be due to differences in ancestral population of origin. Traditional approaches...

In this article, we derive computational bases for Raviart-Thomas (RT ) and Brezzi-DouglasMarini (BDM) (vector) approximation spaces on a triangulation of a domain in IR. The basis functions, defined on the reference triangle, have a Lagrangian property. The continuity of the normal component of the approximation across the edges in the triangulation is satisfied by the use of the Piola transfo...

Gene networks are likely to govern most traits in nature. Mutations at these genes often show functional epistatic interactions that lead to complex genetic architectures and variable fitness effects in different genetic backgrounds. Understanding how epistatic genetic systems evolve in nature remains one of the great challenges in evolutionary biology. Here we combine an analytical framework w...