We consider the problem of detecting whether or not, in a given sensor network, there is a
cluster of sensors which exhibit an" unusual behavior." Formally, suppose we are given a set …

This paper demonstrates how to reduce the hand labeling effort considerably by 3D
information in an object detection task. In particular, we demonstrate how an efficient car …

We consider the problem of detecting a rectangle of activation in a grid of sensors in d-
dimensions with noisy measurements. This has applications to massive surveillance …

The Σ-Δ background estimation is a simple non linear method of background subtraction
based on comparison and elementary increment/decrement. We propose here some …

In this paper, we shall address the issue of semantic extraction of different regions of
interest. The proposed approach is based on statistical methods and models inspired from …

In wilderness search and rescue, objects not native or typical to a scene may provide clues
that indicate the recent presence of the missing person. This paper presents the results of …

In steganalysis, there exist a good number of feature extraction techniques; the most
commonly used feature extraction technique is based on the Discrete Wavelet Transform …

Breast cancer is becoming the leading form of cancer among women worldwide, indeed,
there are no effective ways to prevent this disease at present, therefore, it's early screening …

We develop a multiscale scanning method to find anomalies in ad-dimensional random field
in the presence of nuisance parameters. This covers the common situation that either the …

We consider the problems of detection and localization of a contiguous block of weak
activation in a large matrix, from a small number of noisy, possibly adaptive, compressive …