Η παρούσα διπλωματική εργασία έχει ως αντικείμενο την κατασκευή συστήματος ανίχνευσης κίνησης αυτοκινήτου και την καταγραφή των δεδομένων σε μνήμη SD ή MMC.Η καταγραφή της κίνησης γίνεται μέσω της μέτρησης της επιτάχυνσης και στους τρεις άξονες με χρήση του μικροελεγκτή STM32 Cortex-M3 της εταιρίας ST Microelectronics. Πιο συγκεκριμένα χρησιμοποιείται το STM32-103STK Development Board της εταιρίας Olimex το οποίο διαθέτει και κάποια ενσωματωμένα περιφερειακά. Αρχικά, περιγράφονται τα διάφορα χαρακτηριστικά του συστήματος και δίνονται σημαντικές πληροφορίες για τη λειτουργία του και τα πλεονεκτήματα που προσφέρει στο χρήστη.Στη συνέχεια, γίνεται αναφορά και ανάλυση σε κάποια από τα διαθέσιμα περιβάλλοντα για ανάπτυξη ενσωματωμένων εφαρμογών και τελικά παρουσιάζεται διεξοδικά ο αλγόριθμος που χρησιμοποιήθηκε για την ανάπτυξη της συγκεκριμένης εφαρμογής.Το σύστημα που υλοποιήθηκε λαμβάνει τιμές επιτάχυνσης μέσω ενός επιταχυνσιομέτρου τριών αξόνων,προβάλλει τις τιμές αυτές στην οθόνη προς ενημέρωση του χρήστη και τελικά αποθηκεύει αυτές τις τιμές σε κάρτα μνήμης τύπου SD(Secure Digital). / This diploma thesis is about the implementation of a tracking and acceleration data recording system in SD or MMC memories in order to examine the movement of an automobile. Movement tracking is performed through measurement of acceleration values in all three axis with an STM32 Cortex-M3 microcontroller provided by ST Microelectronics. Specifically, we use the STM32-103STK Development board by Olimex with its embedded peripherals. First of all, we give a description of system characteristics and important information about its operation and the advantages it offers to users. Moreover, there is a reference and analysis regarding the available development environments for creating and debugging embedded applications and finally there is a detailed presentation of the algorithm used for the development of this particular application. The implemented system measures the acceleration values through a 3-axis accelerometer, then presents those values on an LCD screen to inform the user and stores the values in an SD(Secure Digital) memory card.

Esta dissertação tem como objetivo estudar um método para estimar a velocidade de veículos ferroviários usando processamento de vídeo. O sistema proposto consiste na utilização de câmeras ao longo das vias férreas que permitam não só o monitoramento do tráfego ferroviário, mas cujo vídeo captado possa ser utilizado para a obtenção de estimativas para a velocidade instantânea dos trens que por ela trafegam. Tal sistema seria utilizado independentemente dos sistemas de controle já utilizados pela operadora do sistema ferroviário, permitindo que os controladores possam ter uma segunda análise no caso de falha da primeira, assim como um modelo que permita avaliar a velocidade instantânea do veículo ferroviário ao longo do percurso. Os algoritmos de rastreamento empregados para esse fim abordaram diferentes métodos. Confrontaram-se os resultados obtidos com os algoritmos propostos com os dados empíricos de forma a determinar aquele com melhor resposta dada as características do sistema. O algoritmo que apresentou os melhores resultados emprega um único bloco de referência para todos os quadros comparados. A métrica de similaridade responsável por determinar quais blocos são mais ou menos similares dentro do universo de busca estipulado é a soma de diferenças absolutas (SAD, Sum of Absolute Differences). O tempo de processamento requerido por cada um dos métodos de rastreamento estudados também foi considerado nas avaliações de resultados apresentadas. Uma comparação realizada entre as velocidades coletadas e aquelas informadas pelo sistema de controle mostraram que os resultados obtidos com o sistema atual, utilizando a sinalização apenas por circuito de via apresenta resultados pouco confiáveis com erros bastante significativos. Os resultados obtidos com o sistema proposto apresentaram erros menores quando comparados àqueles obtidos pelo sistema vigente, apresentando-se assim como uma solução viável e de baixo custo quando comparada às técnicas atualmente empregadas para a medida de velocidade de trens. / This dissertation aims to study a method of estimating the speed of railway vehicles using video processing. The proposed system uses cameras disposed alongside railways to monitor traffic as well as estimate train speeds. Such a system would allow the machinist to have a backup control system, regardless of the control systems already used by the operator of the rail system. In this dissertation, tracking algorithms with different methods are discussed. By comparing results obtained with the proposed algorithm and results from empirical data, it was possible to determine the one that best provided the desired results given the characteristics of the system. The algorithm which presented the best results was the one that employs a single block for all reference frames compared. The metric of similarity used for determining which blocks are most similar within the searched universe is the sum of absolute differences (SAD). The processing time required by each of the screening methods studied was also considered in assessing the results presented. A comparison between the rates collected and those informed by the control system showed that the results obtained with the current system, which only uses the signal track circuit, provides unreliable results with very significant errors. The results obtained with the proposed system had errors smaller than those obtained with the current system, suggesting the proposed system is viable and cost-effective compared to currently employed techniques.

Esta dissertação tem como objetivo estudar um método para estimar a velocidade de veículos ferroviários usando processamento de vídeo. O sistema proposto consiste na utilização de câmeras ao longo das vias férreas que permitam não só o monitoramento do tráfego ferroviário, mas cujo vídeo captado possa ser utilizado para a obtenção de estimativas para a velocidade instantânea dos trens que por ela trafegam. Tal sistema seria utilizado independentemente dos sistemas de controle já utilizados pela operadora do sistema ferroviário, permitindo que os controladores possam ter uma segunda análise no caso de falha da primeira, assim como um modelo que permita avaliar a velocidade instantânea do veículo ferroviário ao longo do percurso. Os algoritmos de rastreamento empregados para esse fim abordaram diferentes métodos. Confrontaram-se os resultados obtidos com os algoritmos propostos com os dados empíricos de forma a determinar aquele com melhor resposta dada as características do sistema. O algoritmo que apresentou os melhores resultados emprega um único bloco de referência para todos os quadros comparados. A métrica de similaridade responsável por determinar quais blocos são mais ou menos similares dentro do universo de busca estipulado é a soma de diferenças absolutas (SAD, Sum of Absolute Differences). O tempo de processamento requerido por cada um dos métodos de rastreamento estudados também foi considerado nas avaliações de resultados apresentadas. Uma comparação realizada entre as velocidades coletadas e aquelas informadas pelo sistema de controle mostraram que os resultados obtidos com o sistema atual, utilizando a sinalização apenas por circuito de via apresenta resultados pouco confiáveis com erros bastante significativos. Os resultados obtidos com o sistema proposto apresentaram erros menores quando comparados àqueles obtidos pelo sistema vigente, apresentando-se assim como uma solução viável e de baixo custo quando comparada às técnicas atualmente empregadas para a medida de velocidade de trens. / This dissertation aims to study a method of estimating the speed of railway vehicles using video processing. The proposed system uses cameras disposed alongside railways to monitor traffic as well as estimate train speeds. Such a system would allow the machinist to have a backup control system, regardless of the control systems already used by the operator of the rail system. In this dissertation, tracking algorithms with different methods are discussed. By comparing results obtained with the proposed algorithm and results from empirical data, it was possible to determine the one that best provided the desired results given the characteristics of the system. The algorithm which presented the best results was the one that employs a single block for all reference frames compared. The metric of similarity used for determining which blocks are most similar within the searched universe is the sum of absolute differences (SAD). The processing time required by each of the screening methods studied was also considered in assessing the results presented. A comparison between the rates collected and those informed by the control system showed that the results obtained with the current system, which only uses the signal track circuit, provides unreliable results with very significant errors. The results obtained with the proposed system had errors smaller than those obtained with the current system, suggesting the proposed system is viable and cost-effective compared to currently employed techniques.

The digitalization leads to that many physical solutions are replaced by digital once. Especially in the surveillance and security business have humans been replaced by cameras which are monitored from a remote location. As the power of the computers has increased, live video can be analyzed to inform the controller about anomalies which a human eye could have missed. SAAB – Air Traffic Management has a digital solution to provide Air Traffic Service which is called Remote Tower. This project will come up with a recommendation on how SAAB can dynamically render overlay based on live video, which marks the runways and taxiways on the airfield.

This work's aim is movement detection in the environment of a robot, that may move itself. A 2D occupancy grid representation is used, containing only the currently visible environment, without filtering in time. Motion detection is based on a grid-based particle filter introduced by Tanzmeister et al. in Grid-based Mapping and Tracking in Dynamic Environments using a Uniform Evidential Environment Representation. The system was implemented in the Robot Operating System, which allows for re-use of modules which the solution is composed of. The KITTI Visual Odometry dataset was chosen as a source~of LiDAR data for experiments, along with ground-truth pose information. Ground segmentation based on Loopy Belief Propagation was used to filter the point clouds. The implemeted motion detector is able to distiguish between static and dynamic vehicles in this dataset. Further tests in a simulated environment have shown some shortcomings in the detection of large continuous moving objects.

The aim of this thesis is a study of advanced algorithms for removing interlacing in digital video sequences. The first part of the work is devoted to the theory, basic knowledge and processing characteristics using multimedia data. The second part is devoted to displaying the signal using interlaced and progressive spacing. The following part is focused on methods of conversion between the interlaced line spacing and progressive spacing. The last part deals with implementation of the proposed methods. The algorithm is implemented in C++ language, which provides sufficiently fast processing algorithms. The conclusion of work is focused in testing and verification of the implemented algorithms.

This Thesis „Emergency Button for Seniors“ is about suggestion of realization of system emergency signalization. The System consists of programmable digital watch with wireless interface and PC with software processing signals. Status signalization is created by phone message and figuration of dialog on monitor. There is used free software for realization. Operation system on PC is Linux (distribution Ubontu 11.04). For graphic transitional plane PC application is used cross-platform framework QT. For watch firmware is used C compiler MSP430-GCC, MSP debug v0,15 and firmware OpenChronos.

This thesis deals with the issue of creating applications of augmented reality. There are described types of augmented reality, problems associated with developing of applications of this kind. Also there is description of method for detection of moving objects from the record of stationary camera. The thesis deals with camera calibration using knowledge of scene geometry. Scene editor for scene geometry estimation is included in this work. Augmented reality is represented by physical simulations, where object from virtual reality interacts with detected objects and with objects defined in scene editor.

This thesis describes the possibilities of using smartphones and their cameras in combination with modern computer vision algorithms to track and measure the speed of a floorball. Previous research within the area is described and an explanation is given as to why an implementation using three-frame temporal differencing to detect objects in motion works best to detect and track the ball. 100 floorball shots were recorded and measured using a speedometer radar and two different smartphones, one running the application and the other recording each shot. The video recording for each shot was then used to manually create a baseline for speed comparison. A second experiment was later conducted to analyse the sensitivity and effect on the determined ball size in the floorball shot analysis. The results from the first experiment show that the speedometer radar results in average deviate by 12% from the speed baseline. The speedshooting application however has results that, on average, deviate from the speed baseline by 6%. Furthermore, the results show that a faulty ball size detection is the major cause of error in the speedshooting application. The main conclusion that can be drawn from this is that it is possible to use a smartphone and computer vision methodologies to determine the speed of a floorball shot. In fact, it is even possible to do so with greater accuracy than the radar used in the experiments in this thesis. However, to prove the accuracy of the application for normal use, further testing needs to be conducted in new experiment conditions, for example by recording shots at higher speeds than those recorded in the experiments in this thesis.

As we can find through the development of TV systems in America, the digital TV related digital broadcasting is just the road we would walk into. Nowadays digital television is prevailing in China, and the government is promoting the popularity of digital television. However, because of the economic development, analog television will still take its place in the TV market during a long period. But the broadcasting system has not been reformed, as a result, we should not only take use of the traditional analog system we already have, but also improve the quality of the pictures of analog system. With the high-speed development of high-end television, the research and application of digital television technique, the flaws caused by interlaced scan in traditional analog television, such as color-crawling, flicker and fast-moved object's boundary blur and zigzag, are more and more obvious. Therefore the conversion of interlaced scan to progressing scan, which is de-interlacing, is an important part of current television production. At present there are many kinds of TV sets appearing in the market. They are based on digital processing technology and use various digital methods to process the interlaced, low-field rate video data, including the de-interlacing and field rate conversion. The digital process chip of television is the heart of the new-fashioned TV set, and is the reason of visual quality improvement. As a requirement of real time television signal processing, most of these chips has developed novel hardware architecture or data processing algorithm. So far, the most quality effective algorithm is based on motion compensation, in which motion detection and motion estimation will be inevitably involved, in despite of the high computation cost. in video processing chips, the performance and complexity of motion estimation algorithm have a direct impact on speed area and power consumption of chips. Also, motion estimation determined the efficiency of the coding algorithms in video compression. This thesis proposes a Down-sampled Diamond NTSS algorithm (DSD-NTSS) based on New Three Step Search (NTSS) algorithm, taking both performance and complexity of motion estimation algorithms into consideration. The proposed DSD-NTSS algorithm makes use of the similarity of neighboring pixels in the same image and down-samples pixels in the reference blocks with the decussate pattern to reduce the computation cost. Experiment results show that DSD-NTSS is a better tradeoff in the terms of performance and complexity. The proposed DSD-NTSS reduces the computation cost by half compared with NTSS when having the equivalent image quality. Further compared with Four Step Search(FSS) Diamond Search(DS)、Three Step Search(TSS) and some other fast searching algorithms, the proposed DSD-NTSS generally surpasses in performance and complexity. This thesis focuses on a novel computation-release motion estimation algorithm in video post-processing system and researches the FPGA design of the system.