The Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT) algorithm is a parametric track-before-detect method. It locates targets in imagery by fitting a mixture of probability densities. In recent work, an unknown target shape was accommodated through the use of a Wishart prior on the measurement probability density, this version of the algorithm is referred to as H-PMHT-RM. This paper ap...

While there is no consensus about the history of time since the beginning, in this paper I will discuss some possibilities. We have a pretty clear picture of cosmic history from the electroweak phase transition through the time of recombination, a period which includes the QCD phase transition and big bang nucleosynthesis. This paper includes a quantitative discussion of the age of the universe...

Tracking multiple targets in a cluttered environment is a challenging task. Probabilistic multiple hypothesis tracking (PMHT) is an efficient approach for dealing with it. Essentially PMHT is based on expectation-maximization for handling with association conflicts. Linearity in the number of targets and measurements is the main motivation for a further development and extension of this methodo...

In this paper, we are studied the problem of data associating in track-before detect (TBD) multiple radar system. The influence of trajectory parameters accuracy (errors) on the quality of work of TBD multiradar system is estimated. We suppose the Hough space discretization to be two times larger than max measure error of target co-ordinate.

S INCE ABOUT 1980 THERE HAS BEEN UNPRECEDENTED global economic integration. Globalization has happened before, but not like this. Economic integration occurs through trade, migration, and capital flows. Figure 1.1 tracks these flows. World trade is measured relative to world income. Capital flows are proxied by the stock of foreign capital in developing countries relative to their GDP. Migratio...

In the last few years, social networks like Twitter have been a very useful resource for tracking the events that happened before, during and after an earthquake. Several studies of this topic have applied different techniques like Clustering or Temporal models for extracting these events from Twitter. In this paper, however, we propose a new approach for extracting not only the events that hap...

Typical image feature trackers employ a detect-describe-associate (DDA) or detect-track (DT) paradigm. Intuitively, a hybrid of the two approaches inherits the benefits of each approach and possibly their defects, however this has never been demonstrated formally in a more general setting. In this paper, the stability and speed of DDA, DT, and hybrid trackers are compared and discussed using a ...

This study aims at developing a particle method to detect faint debris, which is hardly seen in single image, from an image sequence based on a track-before-detect (TBD) method. TBD methods try to track targets without explicitly detecting the signals followed by evaluation of goodness of each track and obtaining detection results. This study proposes a particle based TBD (P-TBD) method consist...

The Track-Before-Detect (TBD) algorithms are applied for the tracking of signals below the noise floor. The noise object is the signal that has noise samples only. The processing of such signal using Spatio-Temporal TBD is not possible directly. The proposed preprocessing technique allows analysis of the signal using moving window approach and dot product calculations. Two vectors, related to t...

Esfinge is a general domain Portuguese question answering system which uses the information available on the Web as an additional resource when searching for answers. Other external resources and tools used are a broad coverage parser, a morphological analyser, a named entity recognizer and a Web-based database of word co-occurrences. In this fourth participation in CLEF, in addition to the new...