Kernel bandwidth estimation for moving object detection in non-stabilized cameras

The evolution of the television market is led by 3DTV technology, and this tendency can accelerate during the next years according to expert forecasts. However, 3DTV delivery by broadcast networks is not currently developed enough, and acts as a bottleneck for the complete deployment of the technology. Thus, increasing interest is dedicated to ste-reo 3DTV formats compatible with current HDTV video equipment and infrastructure, as they may greatly encourage 3D acceptance. In this paper, different subsampling schemes for HDTV compatible transmission of both progressive and interlaced stereo 3DTV are studied and compared. The frequency characteristics and preserved frequency content of each scheme are analyzed, and a simple interpolation filter is specially designed. Finally, the advantages and disadvantages of the different schemes and filters are evaluated through quality testing on several progressive and interlaced video sequences.

Moving Object Detection for Real-Time High-Quality Lightweight Applications on Smart Cameras

Here, a novel and efficient strategy for moving object detection by non-parametric modeling on smart cameras is presented. Whereas the background is modeled using only color information, the foreground model combines color and spatial information. The application of a particle filter allows the update of the spatial information and provides a priori information about the areas to analyze in the following images, enabling an important reduction in the computational requirements and improving the segmentation results

Integrating tracking in concentrating photovoltaics using laterally moving optics

In this work the concept of integrating tracking in concentrating photovoltaics is briefly summarized and possible fields of application are classified. A previously proposed system setup relies on the use of two rotational symmetric laterally moving plano-convex lenses to achieve 500× concentration over an angular range of ±24 ◦ . However, the circular lens apertures are less suitable for application in lens array structures. A new design algorithm based on the Simultaneous Multiple Surface algorithm in three dimensions (SMS3D) demonstrates the ability to address this problem. Performance simulations show that the resulting non-rotational symmetric design outperforms its conventional rotational symmetric counterpart

Automatic Bandwidth Estimation Strategy for High-Quality Non-Parametric Modeling based Moving Object Detection

Here, a novel and efficient moving object detection strategy by non-parametric modeling is presented. Whereas the foreground is modeled by combining color and spatial information, the background model is constructed exclusively with color information, thus resulting in a great reduction of the computational and memory requirements. The estimation of the background and foreground covariance matrices, allows us to obtain compact moving regions while the number of false detections is reduced. Additionally, the application of a tracking strategy provides a priori knowledge about the spatial position of the moving objects, which improves the performance of the Bayesian classifier

Mapping wide row crops with video sequences acquired from a tractor moving at treatment speed

This paper presents a mapping method for wide row crop fields. The resulting map shows the crop rows and weeds present in the inter-row spacing. Because field videos are acquired with a camera mounted on top of an agricultural vehicle, a method for image sequence stabilization was needed and consequently designed and developed. The proposed stabilization method uses the centers of some crop rows in the image sequence as features to be tracked, which compensates for the lateral movement (sway) of the camera and leaves the pitch unchanged. A region of interest is selected using the tracked features, and an inverse perspective technique transforms the selected region into a bird’s-eye view that is centered on the image and that enables map generation. The algorithm developed has been tested on several video sequences of different fields recorded at different times and under different lighting conditions, with good initial results. Indeed, lateral displacements of up to 66% of the inter-row spacing were suppressed through the stabilization process, and crop rows in the resulting maps appear straight

Novel lateral moving tracking optics with the SMS design method

Lateral moving optics along straight path has already been studied in the past. However, their relative small angular range can be a limitation to potential applications. In this work, a new design concept of SMS moving optics is developed, in which the movement is no longer lateral but follows a curved trajectory, which is calculated in the design process. We have chosen an afocal system, which aim to direct the parallel rays of large incident angles to parallel output rays, and we have obtained that the RMS of the divergence angle of the output rays remains below 1 degree within a input angular range of ±45 output. Potential applications of this beam-steering device are: skylights to provide steerable natural illumination, building integrated CPV systems, and steerable LED illumination.

Moving loads on railway bridges: The Spanish Code approach

This paper presents the results of part of the research carried out by a committee in charge of the elaboration of the new Spanish Code of Actions in Railway Bridges. Following the work developed by the European Rail Research Institute (ERRI), the dynamic effects caused by the Spanish high-speed train TALGO have been studied and compared with other European trains. A simplified envelope of the impact coefficient is also presented. Finally, the train-bridge interactions has been analysed and the results compared with those obtained from simple models based on moving loads.

Versatile Bayesian classifier for moving object detection by non-parametric background-foreground modeling

Along the recent years, several moving object detection strategies by non-parametric background-foreground modeling have been proposed. To combine both models and to obtain the probability of a pixel to belong to the foreground, these strategies make use of Bayesian classifiers. However, these classifiers do not allow to take advantage of additional prior information at different pixels. So, we propose a novel and efficient alternative Bayesian classifier that is suitable for this kind of strategies and that allows the use of whatever prior information. Additionally, we present an effective method to dynamically estimate prior probability from the result of a particle filter-based tracking strategy.

Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA

A spatial-color-based non-parametric background-foreground modeling strategy in a GPGPU by using CUDA is proposed. This strategy is suitable for augmented-reality applications, providing real-time high-quality results in a great variety of scenarios.

Moving object detection for real-time augmented reality applications in a GPGPU

The last generation of consumer electronic devices is endowed with Augmented Reality (AR) tools. These tools require moving object detection strategies, which should be fast and efficient, to carry out higher level object analysis tasks. We propose a lightweight spatio-temporal-based non-parametric background-foreground modeling strategy in a General Purpose Graphics Processing Unit (GPGPU), which provides real-time high-quality results in a great variety of scenarios and is suitable for AR applications.

Adaptable Bayesian classifier for spatiotemporal nonparametric moving object detection strategies

Electronic devices endowed with camera platforms require new and powerful machine vision applications, which commonly include moving object detection strategies. To obtain high-quality results, the most recent strategies estimate nonparametrically background and foreground models and combine them by means of a Bayesian classifier. However, typical classifiers are limited by the use of constant prior values and they do not allow the inclusion of additional spatiodependent prior information. In this Letter, we propose an alternative Bayesian classifier that, unlike those reported before, allows the use of additional prior information obtained from any source and depending on the spatial position of each pixel.

PIC computation of electron current collection to a moving bare tether in the mesothermal condition

In tethered satellite technology, it is important to estimate how many electrons a spacecraft can collect from its ambient plasma by a bare electrodynamic tether. The analysis is however very difficult because of the small but significant Geo-magnetic field and the spacecraft’s relative motion to both ions and electrons. The object of our work is the development of a numerical method, for this purpose. Particle-In-Cell (PIC) method, for the calculation of electron current to a positive bare tether moving at orbital velocity in the ionosphere, i.e. in a flowing magnetized plasma under Maxwellian collisionless conditions. In a PIC code, a number of particles are distributed in phase space and the computational domain has a grid on which Poisson equation is solved for field quantities. The code uses the quasi-neutrality condition to solve for the local potential at points in the plasma which coincide with the computational outside boundary. The quasi-neutrality condition imposes ne - ni on the boundary. The Poisson equation is solved in such a way that the presheath region can be captured in the computation. Results show that the collected current is higher than the Orbital Motion Limit (OML) theory. The OML current is the upper limit of current collection under steady collisionless unmagnetized conditions. In this work, we focus on the flowing effects of plasma as a possible cause of the current enhancement. A deficit electron density due to the flowing effects has been worked and removed by introducing adiabatic electron trapping into our model.

Material, espacio y color en Mies van der Rohe. Café Samt & Seide: Hacia una Propuesta Estructural

La aparición de varias fotografías del Café Samt & Seide no publicadas hasta 2008 en las que se observaba la luz natural de la exposición; los planos a escala de la nave donde se realizó la exposición textil; y los croquis inéditos de la instalación de la seda localizados durante el transcurso de la Tesis Doctoral por el doctorando en el plano de la Sala de Cristal, han sido las principales aportaciones de la búsqueda documental que ha tenido por objeto el conocimiento espacial e interpretación gráfica del proyecto expositivo realizada durante el transcurso de la Tesis Doctoral para poder profundizar en el alcance de la propuesta protoarquitectónica y, a través de ella, en la obra y pensamiento de Mies van der Rohe. Material, espacio y color son elementos propuestos como capítulos que estructuran la disertación y que son empleados por Mies van der Rohe como factores de una nueva expresión espacial en la exposiciones como ensayos identificados con su idea de arquitectura. En el Café Samt & Seide, Mies van der Rohe y Lilly Reich proponen una sensibilidad en el empleo del material y color trasladada al espacio mediante una atmósfera rítmica y en movimiento de superficies abstraídas e iluminadas. La estructura visual de opuestos nace del doble material textil de la exposición desplegándose en un orden espacial y constructivo de elementos independientes iniciado en los apartamentos de la Colonia Weissenhof y Sala de Cristal de Stuttgart 1926-1927, y que será trasladado desde los espacios experimentales de 1927 a las series de mármoles y cristales del Pabellón Alemán 1928-1929. La síntesis intelectual (arte-ciencia-filosofía) guía el proceso de formalización y la técnica en una intención que será trasladada a su arquitectura en el empleo de la tecnología. La creatividad y repercusión de las vanguardias en la instalación muestra la voluntad integradora de la exposición y arquitectura como arte total. Los aspectos interpretativos de las artes plásticas, visuales y musicales se integran como criterios y sensibilidades aplicadas a las estructuras yuxtapuestas material, espacial y de color. Modernidad y tradición tectónica convergen en este espacio construido cuyas superficies cubren un armazón metálico oculto. La construcción mínima textil será incorporada como idea de forma en la futura construcción del pilar metálico, la pared flotante de sus viviendas y pabellones abiertos a la naturaleza, y la gran fachada tecnológica del espacio público de sus agrupaciones en la ciudad. El espacio total del Café Samt & Seide dentro de la gran nave de Berlín anticipa las exposiciones artísticas e industriales realizadas junto a Lilly Reich en el interior de las espaciosas salas de estructura metálica como instalaciones conceptuales de gravedad y luz antecedentes de los pabellones de grandes dimensiones y espacio universal. Arquitectura, construcción y lugar son integrados en la instalación por el principio estructural como propuesta de una idea de arquitectura que es desarrollada en las exposiciones. Oscilador y bastidor son construcciones escaladas dentro de la gran nave iluminada, expresando el conjunto un orden de partes que reflejan un todo integrado en la naturaleza y lo universal. Las múltiples relaciones espaciales, constructivas y conceptuales de la exposición con su arquitectura desvelan al Café Samt & Seide como un exponente y antecedente de su obra e idea a la que definió como una propuesta estructural. La estructura, entendida como un conjunto de valores culturales y medios técnicos, es el concepto con el que Mies van der Rohe identifica la síntesis intelectualtecnológica de su tiempo, constituyendo la finalidad de su expresión material, espacial y de color. ABSTRACT The unpublished pictures of the Café Samt & Seide appeared in 2008 in which the natural light in the exhibition can be seen; the scaled plan of the nave where the textile exhibition was held; and the unpublished sketches of the silk exhibition located by the doctoral candidate while preparing his dissertation have been the main input of the data search aiming at a better understanding of the space and a graphic interpretation of the exhibition project made by the doctoral candidate during the dissertation as a basic requirement to deepen in the scope of this protoarchitectural proposal and, though it, into Mies van der Rohe’s work and thinking. Material, space and colour are the elements put forward as the chapters structuring this dissertation and were used by Mies van der Rohe as factors of a new spatial expression in expositions as tests identified with his idea of architecture. In Café Samt & Seide, Mies van der Rohe and Lilly Reich present material and colour sensitivity transferred to space though a rhythmic and moving atmosphere made up by abstracted and lit surfaces. Such a visual grammar and oppositions unfolds into a space and constructive order of independent elements originated with the apartments of the Weissenhof Colony and Glass Room in Stuttgart 1926-1927, and which were transferred these test spaces 1927 to the series of marble and glass in the German Pavilion 1928-1929. The intellectual and formal will (art-science-philosophy) guides the technical expression, which is transferred to architecture through technology. The creativity and impact of avant-gardes in the installation reflects exhibition and architecture’s will to integrate as a Total Art. The interpretative aspects of plastic, visual and musical arts are part of a sensitivity applied to the overlapped structures of material, space and colour. Tectonic modernity and tradition converge in this space built with surfaces covering a hidden metal framework. The minimal textile construction is integrated as a shape idea in his subsequent construction of the metal pillar, floating wall in his housing and pavilions open to nature, and the great technological façade of the public space of his urban clusters. The total space of the exhibition inside the great nave in Berlin anticipates the artistic and industrial exhibitions done together with Lilly Reich inside the spacious Halls built with exposed metal structures as conceptual installation of gravity and light prior to the big-dimensioned pavilions and universal space. Architecture, construction and place are integrated by the structural principle. Oscillator and framework are scaled constructions integrated inside the great, lit nave, and the whole conveys order of its parts reflecting a whole integrated in nature and the universal. The many conceptual, space and constructive link of the textile exhibition to his European and American architecture add a greater knowledge of the time when Mies van der Rohe stated he gained a “new awareness” 1926, revealing Café Samt & Seide as a valuable example and the experimental precursor of his work and idea defined by himself as a “structural proposal”. The structure, understood as a set of cultural and material values expressed by architecture, is the notion used by Mies van der Rohe to identify the intellectual-technological synthesis as the idea of a time and which is the goal of its material, space and colour expression.

Region-based moving object detection using spatially conditioned nonparametric models in a GPU

A novel GPU-based nonparametric moving object detection strategy for computer vision tools requiring real-time processing is proposed. An alternative and efficient Bayesian classifier to combine nonparametric background and foreground models allows increasing correct detections while avoiding false detections. Additionally, an efficient region of interest analysis significantly reduces the computational cost of the detections.

Study of the effects of moving targets in SAR images for their detection.

Synthetic Aperture Radar’s (SAR) are systems designed in the early 50’s that are capable of obtaining images of the ground using electromagnetic signals. Thus, its activity is not interrupted by adverse meteorological conditions or during the night, as it occurs in optical systems. The name of the system comes from the creation of a synthetic aperture, larger than the real one, by moving the platform that carries the radar (typically a plane or a satellite). It provides the same resolution as a static radar equipped with a larger antenna. As it moves, the radar keeps emitting pulses every 1/PRF seconds —the PRF is the pulse repetition frequency—, whose echoes are stored and processed to obtain the image of the ground. To carry out this process, the algorithm needs to make the assumption that the targets in the illuminated scene are not moving. If that is the case, the algorithm is able to extract a focused image from the signal. However, if the targets are moving, they get unfocused and/or shifted from their position in the final image. There are applications in which it is especially useful to have information about moving targets (military, rescue tasks,studyoftheflowsofwater,surveillanceofmaritimeroutes...).Thisfeatureiscalled Ground Moving Target Indicator (GMTI). That is why the study and the development of techniques capable of detecting these targets and placing them correctly in the scene is convenient. In this document, some of the principal GMTI algorithms used in SAR systems are detailed. A simulator has been created to test the features of each implemented algorithm on a general situation with moving targets. Finally Monte Carlo tests have been performed, allowing us to extract conclusions and statistics of each algorithm.