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3D tracking using multiple Nintendo Wii Remotes: a simple consumer hardware tracking approach
(2009)
An easy to build and cost-effective 3D tracking solution is presented, using Nintendo Wii Remotes acting as cameras. As the hardware differs from usual tracking cameras, the calibration and tracking process has to be adapted accordingly. The tracking approach described could be used for tracking the user's motions in video games based upon physical activity (sports, fighting or dancing games), allowing the player to interact with the game in a more intuitive way than by just pressing buttons.
In the last 5 years a close co-operation between the Bonn-Rhein-Sieg University of Applied Sciences and the Philips Research Laboratories in Aachen has been established. In this article I want to report on the co-operation of the Department of Electrical Engineering, Mechanical Engineering and Technical Journalism with Philips. Besides a number of diploma theses on the field of water treatment with new discharge lamps, power electronics and modelling of electromagnetic field configurations, there is running also an activity on a new generation of highly efficient light sources based on molecular discharges.
Timely recognition of threats can be significantly supported by security assistance systems that work continuously in time and call the security personnel in case of anomalous events in the surveillance area. We describe the concept and the realization of an indoor security assistance system for real-time decision support. The system consists of a computer vision module and a person classification module. The computer vision module provides a video event analysis of the entrance region in front of the demonstrator. After entering the control corridor, the persons are tracked, classified, and potential threats are localized inside the demonstrator. Data for the person classification are provided by chemical sensors detecting hazardous materials. Due to their limited spatio-temporal resolution, a single chemical sensor cannot localize this material and associate it with a person. We compensate this deficiency by fusing the output of multiple, distributed chemical sensors with kinematical data from laser-range scanners. Considering both the computer vision formation and the results of the person classification affords the localization of threats and a timely reaction of the security personnel.
This report presents the implementation and evaluation of a computer vision task on a Field Programmable Gate Array (FPGA). As an experimental approach for an application-specific image-processing problem it provides reliable results to measure gained performance and precision compared with similar solutions on General Purpose Processor (GPP) architectures.
The project addresses the problem of detecting Binary Large OBjects (BLOBs) in a continuous video stream. For this problem a number of different solutions exist. But most of these are realized on GPP platforms, where resolution and processing speed define the performance barrier. With the opportunity of parallelization and performance abilities like in hardware, the application of FPGAs become interesting. This work belongs to the MI6 project from the Computer Vision research group of the University of Applied Sciences Bonn-Rhein-Sieg. It address the detection of the users position and orientation in relation to the virtual environment in an Immersion Square.
The goal is to develop a light emitting device, that points from the user towards the point of interest on the projection screen. The projected light dots are used to represent the user in the virtual environment. By detecting the light dots with video cameras, the idea is to interface the position and orientation of the relative position of the user interface. Fort that the laser dots need to be arranged in a unique pattern, which requires at least five points.[29] For a reliable estimation a robust computation of the BLOB's center-points is necessary.
This project has covered the development of a BLOB detection system on a FPGA platform. It detects binary spatially extended objects in a continuous video stream and computes their center points. The results are displayed to the user and where validated for their ground truth. The evaluation compares precision and performance gain against similar approaches on GPP platforms.
Embryonic stem cells (ES) have the potential of long-term viability, selfrenewal and pluripotency which makes them interesting candidates for tissue engineering and gene therapy applications. On the other hand ethical and political issues arise while using theses cells and severe problems such as their tumorgenicity have not been solved yet. In the last couple of month a new source of cells with stem cell character was developed, the induced pluripotent stem cells (iPS). These cells are derived from differentiated adult cells via transduction of three transcription factors and show features similar to embryonic stem cells. Unfortunately, this includes the tumorgenicity which is even higher in those cells since the transcription factor transduction needed until now, is performed with retrovial vectors, which have a tumor potential on their own. Thus, adult stem cells are investigated extensively as alternative source of self-renewing cells. Human mesenchymal stem cells (HMSCs), which have in addition the advantage of potential autologous transplantation, can be found in various differentiated tissues since they are needed for maintenance and repair. They can be differentiated in chondrogenic, osteogenic, adipogenic and myogenic lineages which makes them an excellent tool for future tissue replacement strategies.
Die Wiederverwertung von Kunststoffen (Kunststoffrecycling) kann in die werkstoffliche (materielle), die rohstoffliche (chemische) und die energetische Verwertung unterteilt werden. Beim werkstofflichen Kunststoffrecycling werden sortenreine Kunststoffreste gewaschen, gemahlen und von der Kunststoff verarbeitenden Industrie als Rohmaterial eingesetzt. Der chemische Aufbau des erhaltenen Werkstoffs (Re-Granulats) bleibt erhalten. Bei der rohstofflichen Verwertung werden Kunststoffreste zu Monomeren zurückgeführt. Die erhaltenen Monomere werden dann bei der Herstellung neuer Kunststoffe verwendet. Bei der energetischen Verwertung werden die Kunststoffreste der Zement- oder Stahlindustrie als Energieträger zugeführt.
A soluble form of the complement receptor CD21 (sCD21) is shed from the lymphocyte surface. The sCD21 is able to bind all known ligands such as CD23, sCD23, Epstein-Barr virus and C3d in immune complexes. Here, we show the serum levels of sCD21 in sera the of antiphospholipid syndrome (APS) patients. Antiphospholipid syndrome is an autoimmune disorder in which autoantibodies cause heart attack, stroke and miscarriage. Antiphospholipid syndrome may appear as primary or in association with systemic lupus erythromatosus (SLE) and other autoimmune diseases. Here, we ask whether APS patients have different sCD21 titers compared to healthy persons and whether sCD21 levels correlate with the presence of anti-β2-GPI autoantibodies. We show that autoimmune APS patients have significantly reduced amounts of sCD21 in their sera, irrespective of the presence of anti-β2-GPI autoantibodies. In our APS patients cohort additional SLE, vasculities, DVT (deep vein thrombosis), fetal loss or thrombosis did not correlate to the reduced level of sCD21.
Heutzutage ist die Entwicklung von Luft- und Raumfahrzeugen ein komplexer und standardisierter Prozess, der verschiedene Disziplinen der Wissenschaft und des Ingenieurwesens vereint. Die Kenntnis flugphysikalischer Eigenschaften, insbesondere Aerodynamik und Strömung, ist für den Entwurf von Luft- und Raumfahrzeugen unerlässlich. Um den Aufwand zur Berechnung dieser Eigenschaften zu verringern, wurden Methoden und Werkzeuge zur computergestützten Simulation entworfen. Diese werden in integrierten simulationsbasierten Entwicklungsprozessen zusammengefasst. Dadurch ist es beispielsweise möglich, Zeitersparnisse von bis zu mehreren Jahren, gegenüber physikalischen Tests in Windkanälen, zu erzielen [Bec08].
Ein wichtiges Themengebiet der Forschung ist die Beschleunigung von Berechnungen mittels Parallelisierung von Algorithmen. Grafikprozessoren, die für den General Purpose Computation on GPU’s (GPGPU) Betrieb geeignet sind, bieten eine aktuelle Möglichkeit der Parallelisierung. Anhand dieser Grafikkarten ist es möglich, die hohe Leistung der Grafikprozessoren zur Berechnung wissenschaftlicher Aufgabenstellungen zu nutzen. In dieser Arbeit wird ein Algorithmus zur Ausrichtung von Belichtungsreihen, die bei der High-Dynamic-Range (HDR) Fotografie genutzt werden, ausgewählt und auf der Grafikkartenarchitektur von NVIDIA parallelisiert.
Diese Arbeit soll sich mit dem Erstellen von High Dynamic Range Images beschäftigen und damit, es den Fotografen ein wenig leichter zu machen. Ein Algorithmus zum Entfernen von Bildartefakten wird ausgewählt und parallel unter Nutzung der NVIDIA CUDA API implementiert. Der dadurch erzielte Geschwindigkeitszuwachs macht dieses Verfahren tauglich für den Einsatz in Bildbearbeitungsprogrammen.
In Artificial Intelligence, numerous learning paradigms have been developed over the past decades. In most cases of embodied and situated agents, the learning goal for the artificial agent is to „map“ or classify the environment and the objects therein [1, 2], in order to improve navigation or the execution of some other domain-specific task. Dynamic environments and changing tasks still pose a major challenge for robotic learning in real-world domains. In order to intelligently adapt its task strategies, the agent needs cognitive abilities to more deeply understand its environment and the effects of its actions. In order to approach this challenge within an open-ended learning loop, the XPERO project (http://www.xpero.org) explores the paradigm of Learning by Experimentation to increase the robot's conceptual world knowledge autonomously. In this setting, tasks which are selected by an actionselection mechanism are interrupted by a learning loop in those cases where the robot identifies learning as necessary for solving a task or for explaining observations. It is important to note that our approach targets unsupervised learning, since there is no oracle available to the agent, nor does it have access to a reward function providing direct feedback on the quality of its learned model, as e.g. in reinforcement learning approaches. In the following sections we present our framework for integrating autonomous robotic experimentation into such a learning loop. In section 1 we explain the different modules for stimulation and design of experiments and their interaction. In section 2 we describe our implementation of these modules and how we applied them to a real world scenario to gather target-oriented data for learning conceptual knowledge. There we also indicate how the goaloriented data generation enables machine learning algorithms to revise the failed prediction model.