907 resultados para cameras and camera accessories
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Depicted by pen and camera.
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Comme la représentation théâtrale est une forme d’art fugitive qui, en raison de son caractère performatif, possède son propre monde fictionnel, la question de l’oposition entre représentation et réalité occupe une place centrale dans les études théâtrales. Ainsi, les œuvres scèniques d’un metteur en scène comme Frank Castorf représentent des objets d’analyse particulièrement appropriés. Parce que Castorf met d’abord l’accent sur le moment présent et la réalité de la représentation théâtrale, il est légitime de se demander quelle est la part qu’occupe la représentation d’un monde fictionel dans ses spectacles. Ce travail vise précisément à identifier l’importance qu’accorde Castorf à la performativité dans deux adaptations théâtrales des romans de Dostoïevski Les démons et l’Idiot. Comme notre société donne une place grandissante aux médias reproductibles tels que la télévision et le cinéma, et que l’être humain tend toujours davantage à se méditiaser lui-même, le théâtre comme toutes les autres formes d’art s’en trouve transformé. C’est dans cette optique que ces deux adaptations théâtrales ont donné lieu à d’autres manifestations artistiques, soit deux films et deux livres. Cet ouvrage retrace également le processus de re-représentation, c’est-à-dire du passage d’un média à un autre, dans le but d’analyser l’interrelation entre ces œuvres ainsi que de comprendre les raisons qui ont poussé le metteur en scène et son théâtre, la Volksbühne Berlin, à transposer d’abord des romans en spectacle de théâtre pour ensuite en faire des films et des livres. De plus, malgré son utilisation croissante au théâtre, la vidéo représente encore pour certains puristes un envahisseur à bannir. Elle introduirait la perte de l’essence du théâtre : le caractère performatif, qui consiste en une rencontre du public et des acteurs dans un même espace-temps. Par contre, les images vidéo-projetées en direct peuvent conserver une part de performativité puisqu’elles sont susceptibles d’influer sur le spectateur, et inversement. En prenant comme exemple l’Idiot de Frank Castorf, ce travail montre comment les caméras et leur dispositif de transmission en direct ont la capacité de se substituer aux principaux objets du spectacle théâtral : les acteurs.
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Enhanced reality visualization is the process of enhancing an image by adding to it information which is not present in the original image. A wide variety of information can be added to an image ranging from hidden lines or surfaces to textual or iconic data about a particular part of the image. Enhanced reality visualization is particularly well suited to neurosurgery. By rendering brain structures which are not visible, at the correct location in an image of a patient's head, the surgeon is essentially provided with X-ray vision. He can visualize the spatial relationship between brain structures before he performs a craniotomy and during the surgery he can see what's under the next layer before he cuts through. Given a video image of the patient and a three dimensional model of the patient's brain the problem enhanced reality visualization faces is to render the model from the correct viewpoint and overlay it on the original image. The relationship between the coordinate frames of the patient, the patient's internal anatomy scans and the image plane of the camera observing the patient must be established. This problem is closely related to the camera calibration problem. This report presents a new approach to finding this relationship and develops a system for performing enhanced reality visualization in a surgical environment. Immediately prior to surgery a few circular fiducials are placed near the surgical site. An initial registration of video and internal data is performed using a laser scanner. Following this, our method is fully automatic, runs in nearly real-time, is accurate to within a pixel, allows both patient and camera motion, automatically corrects for changes to the internal camera parameters (focal length, focus, aperture, etc.) and requires only a single image.
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This paper describes the crowd image analysis challenge that forms part of the PETS 2009 workshop. The aim of this challenge is to use new or existing systems for i) crowd count and density estimation, ii) tracking of individual(s) within a crowd, and iii) detection of separate flows and specific crowd events, in a real-world environment. The dataset scenarios were filmed from multiple cameras and involve multiple actors.
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Prêt-à-Médiatiser by House of POLLYFIBRE is a performance/film that takes the fashion show catwalk as a site for exploration, with a focus on the dialogue between liveness and mediatisation. The performance showcases a clothing collection that has been designed to be documented and thus is challenged in the context of the live event. Motivated by the 2-dimensionality and biased perspective of mediated images such as magazine photography, social network profiles images and the surfaces of digital interfaces, the garments are one sided and obstruct the models in their attempt to play out familiar fashion poses, unless they align themselves 'correctly' for the lense. There is material metaphor and wordplay throughout, for example the clothing pieces are made from interfacing fabrics that are physically cut, pasted and layered to create the rigid flat silhouettes. The performance is accompanied by live sound created by tools of the fashion industry (including scissors and camera clicks) that have been adapted and amplified to be used as instruments. The audience and press are invited to document the live event and the subsequent film is made using footage collated from the crew, the audience and the official press
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The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.
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This dissertation describes the use of new Technologies of the Areas of Telecommunications, Networks and Industrial Automation for increase of the Operational Safety and obtaining of Operational Improvements in the Platforms Petroliferous Offshore. The presented solution represents the junction of several modules of these areas, making possible the Supervision and Contrai of the Platforms Petroliferous Offshore starting from an Station Onshore, in way similar to a remote contral, by virtue of the visualization possibility and audition of the operational area through cameras and microphones, looking the operator of the system to be "present" in the platform. This way, it diminishes the embarked people's need, increasing the Operational Safety. As consequence, we have the obtaining of Operational Improvements, by virtue of the use of a digital link of large band it releases multi-service. In this link traffic simultaneously digital signs of data (Ethernet Network), telephony (Phone VoIP), image and sound
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Fuzzy intelligent systems are present in a variety of equipment ranging from household appliances to Fuzzy intelligent systems are present in a variety of equipment ranging from household appliances to small devices such as digital cameras and cell phones being used primarily for dealing with the uncertainties in the modeling of real systems. However, commercial implementations of Fuzzy systems are not general purpose and do not have portability to different hardware platforms. Thinking about these issues this work presents the implementation of an open source development environment that consists of a desktop system capable of generate Graphically a general purpose Fuzzy controller and export these parameters for an embedded system with a Fuzzy controller written in Java Platform Micro Edition To (J2ME), whose modular design makes it portable to any mobile device that supports J2ME. Thus, the proposed development platform is capable of generating all the parameters of a Fuzzy controller and export it in XML file, and the code responsible for the control logic that is embedded in the mobile device is able to read this file and start the controller. All the parameters of a Fuzzy controller are configurable using the desktop system, since the membership functions and rule base, even the universe of discourse of the linguistic terms of output variables. This system generates Fuzzy controllers for the interpolation model of Takagi-Sugeno. As the validation process and testing of the proposed solution the Fuzzy controller was embedded on the mobile device Sun SPOT ® and used to control a plant-level Quanser®, and to compare the Fuzzy controller generated by the system with other types of controllers was implemented and embedded in sun spot a PID controller to control the same level plant of Quanser®
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Visual Odometry is the process that estimates camera position and orientation based solely on images and in features (projections of visual landmarks present in the scene) extraced from them. With the increasing advance of Computer Vision algorithms and computer processing power, the subarea known as Structure from Motion (SFM) started to supply mathematical tools composing localization systems for robotics and Augmented Reality applications, in contrast with its initial purpose of being used in inherently offline solutions aiming 3D reconstruction and image based modelling. In that way, this work proposes a pipeline to obtain relative position featuring a previously calibrated camera as positional sensor and based entirely on models and algorithms from SFM. Techniques usually applied in camera localization systems such as Kalman filters and particle filters are not used, making unnecessary additional information like probabilistic models for camera state transition. Experiments assessing both 3D reconstruction quality and camera position estimated by the system were performed, in which image sequences captured in reallistic scenarios were processed and compared to localization data gathered from a mobile robotic platform
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The intensification of the fear in the city and in the spaces controlled by this feeling has contributed to a growing socio-spatial inequality, and the rapid growth of market protection. The residential condos emerge as a possible solution to the problem. This is a housing typology expanding worldwide which is seen, especially by the urban middle class, as enablers of quality of life and safety. In Brazil, especially in large cities, the quest for quality of life is directly connected with the desire for security translated through space control (use of high walls, gates, entrance hall, security cameras) and people who use it. This thesis aims at investigating how the different categories of inhabitants of an area predominantly occupied by vertical residential condos realize the socio-spatial dimension and the socio-urban space determined by this type of development. It especially takes into consideration the issue of urban insecurity, based on the assumption that, although published and sold by marketing as safe places , synonym of welfare and supporters of community life , the living in these condos, may even inhibits, social relationships, contributing to socio-spatial isolation and consequent social weakness. This is a survey that seeks to meet the assumptions of Environmental Psychology towards the comprehension of person-environment studies, emphasizing the use of different methods (desk research, observations of and group interviews, focus group technique using photographic resources), as well as the focus on current problems of the urban scene and the knowledge gained in Social Psychology
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Nowadays several electronics devices support digital videos. Some examples of these devices are cellphones, digital cameras, video cameras and digital televisions. However, raw videos present a huge amount of data, millions of bits, for their representation as the way they were captured. To store them in its primary form it would be necessary a huge amount of disk space and a huge bandwidth to allow the transmission of these data. The video compression becomes essential to make possible information storage and transmission. Motion Estimation is a technique used in the video coder that explores the temporal redundancy present in video sequences to reduce the amount of data necessary to represent the information. This work presents a hardware architecture of a motion estimation module for high resolution videos according to H.264/AVC standard. The H.264/AVC is the most advanced video coder standard, with several new features which allow it to achieve high compression rates. The architecture presented in this work was developed to provide a high data reuse. The data reuse schema adopted reduces the bandwidth required to execute motion estimation. The motion estimation is the task responsible for the largest share of the gains obtained with the H.264/AVC standard so this module is essential for final video coder performance. This work is included in Rede H.264 project which aims to develop Brazilian technology for Brazilian System of Digital Television
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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One of the most intriguing questions in ecology is how to identify which and how many species will be able to inhabit human-modified landscapes. Large-bodied mammals structure plant communities by trampling, herbivory, seed dispersal and predation, and their local extinction may have pervasive consequences in plant communities due to the breakdown of key interactions. Although much attention has been given to understanding the effects of defaunation on plant communities, information on the potential impacts on plant functional groups (seed dispersal, seed size and seedling leaves defense) inhabiting continuous forests after defaunation is scarce. We conducted mammal surveys (line transects and camera trapping) to determine the defaunation status of a continuous Atlantic forest in Brazil. Then, we evaluated the effects of defaunation on seedling diversity, richness and abundance of functional groups using 15 plot-pairs (each pair with one open and one exclusion plot) monitored over 36. months. We found that the studied area is partially defaunated because it exhibits high abundance of primates, while terrestrial mammals, such as large rodents and ungulates, are rare. We found no significant changes in either seedling richness and diversity or in the seedling composition of plant functional groups in response to mammal exclosure. Seedling mortality and recruitment were similar between plot types. Our findings suggest that at semi-defaunated areas, where arboreal species are still present, terrestrial mammals have low impacts on the plant community reassembly. © 2013 Elsevier Ltd.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)