Abstract: A radiation detection element comprises: a semiconductor part generating an electric charge by entrance of radiation; a signal output electrode provided at the semiconductor part and outputting a signal caused by the electric charge; a potential gradient generation electrode provided at the semiconductor part, for applying voltage such that a potential gradient in which a potential varies toward the signal output electrode is generated inside the semiconductor part; a collection electrode provided at the semiconductor part, for collecting electric charges not derived from radiation; an insulating film provided on a side of the semiconductor part where the signal output electrode is located; and a conductive layer provided between the insulating film and a part of the semiconductor part, and having electric resistance lower than the electric resistance of the semiconductor part and higher than the electric resistance of the collection electrode.
Abstract: Recent studies in computer vision have shown that, while practically invisible to a human observer, skin color changes due to blood flow can be captured on face videos and, surprisingly, be used to estimate the heart rate (HR). While considerable progress has been made in the last few years, still many issues remain open. In particular, state-of-the-art approaches are not robust enough to operate in natural conditions (e.g. in case of spontaneous movements, facial expressions, or illumination changes). Opposite to previous approaches that estimate the HR by processing all the skin pixels inside a fixed region of interest, we introduce a strategy to dynamically select face regions useful for robust HR estimation. The present approach, inspired by recent advances on matrix completion theory, allows us to predict the HR while simultaneously discover the best regions of the face to be used for estimation.
June 23, 2017
Date of Patent:
July 2, 2019
Universita degli Studi Di Trento, Fondazione Bruno Kessler, The Research Foundation for the State University of New York, University of Pittsburgh of the Commonwealth of Higher Education
Abstract: A semiconductor detector for detecting radiation comprises a first semiconductor part in which an electron and a hole are generated by incident radiation; a signal output electrode outputting a signal base on the electron or the hole; and a gettering part gettering impurities in the first semiconductor part. In addition, the semiconductor detector further comprises a second semiconductor part doped with a type of dopant impurities and having dopant impurity concentration higher than that of the first semiconductor part. The second semiconductor part is in contact with the first semiconductor part. The gettering part is in contact with the second semiconductor part and not in contact with the first semiconductor part.
Abstract: A wideband power attenuator in RF-MEMS multilayer technology, for attenuating an electromagnetic signal, includes an upper layer with two RF ground planes, and between said two RF ground planes a central RF-MEMS movable switch as a floating electrode, an RF input, an RF output of an RF line running across the attenuator, a number of lower layers including in sequence: a ground floor of an electrically insulating substrate; two DC biasing electrodes to electrostatically control said movable switch, and DC biasing lines to feed the DC biasing electrodes; two DC-RF decoupling resistors, each decoupling resistor being connected on one side to respective terminals of said movable switch, and on the other side to respective one of the two RF ground planes; a resistive load adapted to be connected to the RF line to attenuate the electromagnetic signal on the basis of the floating movable switch configuration, between a non-contact RF position and a contact RF position with said RF line.
Abstract: The method for efficient target detection from images robust to occlusion disclosed by the present invention detects the presence and spatial location of a number of objects in images. It consists in (i) an off-line method to compile an intermediate representation of detection probability maps that are then used by (ii) an on-line method to construct a detection probability map suitable for detecting and localizing objects in a set of input images efficiently. The method explicitly handles occlusions among the objects to be detected and localized, and objects whose shape and configuration is provided externally, for example from an object tracker. The method according to the present invention can be applied to a variety of objects and applications by customizing the method's input functions, namely the object representation, the geometric object model, its image projection method, and the feature matching function.
Abstract: A method for tracking a number of objects or object parts in image sequences utilizes a Bayesian-like approach to object tracking, computing, at each time a new image is available, a probability distribution over all possible target configurations for that time. The Bayesian-like approach to object tracking computes a probability distribution for the previous image, at time (t?1), is propagated to the new image at time (t) according to a probabilistic model of target dynamics, obtaining a predicted distribution at time (t). The Bayesian-like approach to object tracking also aligns the predicted distribution at time (t) with the evidence contained in the new image at time (t) according to a probabilistic model of visual likelihood.
Abstract: The process comprises the operations of: effecting heating of a predetermined quantity of water/alcohol solution until it partly or completely evaporates, detecting the change in its temperature over time during heating and evaporation of the said quantity of solution, and, determining the total energy necessary to bring about partial or complete evaporation of the said quantity of solution, or the time necessary for partial or complete evaporation, or the integral of that temperature over time during partial or complete evaporation, the value of each of these quantities being indicative of the alcohol concentration by volume in the water/alcohol solution.
March 19, 2004
Date of Patent:
July 15, 2008
Fondazione Bruno Kessler
Giuliano Pisoni, Vittorio Guarnieri, Giorgio Umberto Pignatel
Abstract: A method for tracking a number of objects or object parts in image sequences utilizes a Bayesian-like approach to object tracking, computing, at each time a new image is available, a probability distribution over all possible target configurations for that time. The Bayesian-like approach to object tracking computes a probability distribution for the previous image, at time (t-1), is propagated to the new image at time (t) according to a probabilistic model of target dynamics, obtaining a predicted distribution at time (t). The Bayesian-like approach to object tracking also aligns the predicted distribution at time (t) with the evidence contained in the new image at time (t) according to a probabilistic model of visual likelihood.