A framework for event detection in field-sports video broadcasts based on SVM generated audio-visual feature model. Case-study: soccer video

In this paper we propose a novel audio-visual feature-based framework, for event detection in field sports broadcast video. The system is evaluated via a case-study involving MPEG encoded soccer video. Specifically, the evidence gathered by various feature detectors is combined by means of a learning algorithm (a support vector machine), which infers the occurrence of an event, based on a model generated during a training phase, utilizing a corpus of 25 hours of content. The system is evaluated using 25 hours of separate test content. Following an evaluation of results obtained, it is shown for this case, that both high precision and recall statistics are achievable

Approximation of the Wigner Distribution for Dynamical Systems Governed by Differential Equations

A conceptually new approximation method to study the time-frequency properties of dynamical systems characterized by linear ordinary differential equations is presented. We bypass solving the differential equation governing the motion by writing the exact Wigner distribution corresponding to the solution of the differential equation. The resulting equation is a partial differential equation in time and frequency. We then show how it lends itself to effective approximation methods because in the time frequency plane there is a high degree of localization of the signal. Numerical examples are given and compared to exact solutions

A high speed Tri-Vision system for automotive applications

Purpose: Cameras are excellent ways of non-invasively monitoring the interior and exterior of vehicles. In particular, high speed stereovision and multivision systems are important for transport applications such as driver eye tracking or collision avoidance. This paper addresses the synchronisation problem which arises when multivision camera systems are used to capture the high speed motion common in such applications. Methods: An experimental, high-speed tri-vision camera system intended for real-time driver eye-blink and saccade measurement was designed, developed, implemented and tested using prototype, ultra-high dynamic range, automotive-grade image sensors specifically developed by E2V (formerly Atmel) Grenoble SA as part of the European FP6 project – sensation (advanced sensor development for attention stress, vigilance and sleep/wakefulness monitoring). Results : The developed system can sustain frame rates of 59.8 Hz at the full stereovision resolution of 1280 × 480 but this can reach 750 Hz when a 10 k pixel Region of Interest (ROI) is used, with a maximum global shutter speed of 1/48000 s and a shutter efficiency of 99.7%. The data can be reliably transmitted uncompressed over standard copper Camera-Link® cables over 5 metres. The synchronisation error between the left and right stereo images is less than 100 ps and this has been verified both electrically and optically. Synchronisation is automatically established at boot-up and maintained during resolution changes. A third camera in the set can be configured independently. The dynamic range of the 10bit sensors exceeds 123 dB with a spectral sensitivity extending well into the infra-red range. Conclusion: The system was subjected to a comprehensive testing protocol, which confirms that the salient requirements for the driver monitoring application are adequately met and in some respects, exceeded. The synchronisation technique presented may also benefit several other automotive stereovision applications including near and far-field obstacle detection and collision avoidance, road condition monitoring and others.Partially funded by the EU FP6 through the IST-507231 SENSATION project.peer-reviewe

Обнаружение полутоновых объектов на изображении на основе вейвлет-преобразования

Разработан метод поиска объектов на изображении на основе прямого вейвлет-преобразования. Новизна заключается в том, что в разработанном методе используется многоуровневая обработка объекта и изображения в сочетании с анализом моментов строк и столбцов матриц вейвлет- коэффициентов. Приведены результаты экспериментальных исследований по оценке временных затрат при поиске полутоновых объектов на изображении

Обнаружение полутоновых объектов на изображении на основе вейвлет-преобразования

Разработан метод поиска объектов на изображении на основе прямого вейвлет-преобразования. Новизна заключается в том, что в разработанном методе используется многоуровневая обработка объекта и изображения в сочетании с анализом моментов строк и столбцов матриц вейвлет- коэффициентов. Приведены результаты экспериментальных исследований по оценке временных затрат при поиске полутоновых объектов на изображении

A Framework for Creating Virtual Reality Models for More Effective Coastal Flood Risk Communication

Coastal cities are exposed to increasing risks of flooding from sea-level rise. Climate change is expected to double the frequency of coastal flooding within the next decade, and some areas could experience floods of a magnitude 100 times higher than currently (Vitousek et al., 2017). People living in at-risk areas often ignore the impact of climate change on flood intensity and frequency. Immersive visual storytelling techniques proved promising and powerful tools to engage with and raise awareness of flood hazards. Here, we are introducing a framework to use Virtual Reality (VR) to reach better people living in coastal cities and help them understand the impact of climate change on their community. We developed a virtual experience in which people can be immersed in a coastal flood and experience its intensity. We used a combination of UAV imagery and digital photogrammetric techniques to create a virtual environment in which people can recognize real locations in their neighborhood and used GIS flood data to apply a water texture in Unity3D to create the flood levels

Design of a RGB-Arduino device for monitoring copper recovery from PCBs

The mobile phone industry, one of the fastest advancing sectors in production over the last few decades, has been associated with a high e-waste generation rate. Simultaneously, a high demand for the production of new electronic equipment has led to the scarcity of certain metals. In this context, many recent studies have focused on recovering certain metals from e-waste through the use of bioprocesses. Such recovery processes are based on the action of microorganisms that produce Fe(III) as an oxidant, in order to leach the copper contained in printed circuit boards. During the oxidation-reduction reaction between Fe(III) and metallic Cu, the color of the solution evolves from an initial reddish color, due to Fe(III), to a bluish-green color, due to the oxidized Cu. In this work, a hardware-software prototype is developed, through which the concentrations of the key analytes—Fe(III) and Cu(II)—can be determined in real time by monitoring the color of the solution. This is achieved through the use of a non-invasive system, taking into account the aggressiveness of the solutions used for the bioprocessing of electronic components. In the work presented herein, the evolution of the solution color during the bioprocessing of two different types of waste (i.e., electric cable and mobile phones) is analyzed and then compared with the results obtained for pure metallic copper. The results are validated through comparison of the predicted results with the outcomes of conventional procedures, including offline sampling and analysis of Cu(II) and Fe(III) through atomic absorption and UV-VIS spectroscopy, respectively. The developed monitoring system allows an algorithm to be designed that can fit the evolution of analyte concentrations without the need for sampling or the use of complex, tedious, and expensive analytic techniques. It is also worth noting that the monitoring system is not in direct contact with the solution (which is highly aggressive for the processing of electronic equipment), making the system more durable than classic sensors that must be submerged in the solution. The real-time nature of the obtained information allows for the development of control actions and for corrective measures to be taken without affecting the biomass involved in the process.This work was supported by the Spanish Agencia Estatal de Investigación Project Ref PID2020-117520RA-I00/AEI/10.13039/501100011033.Peer ReviewedObjectius de Desenvolupament Sostenible::12 - Producció i Consum ResponsablesPostprint (published version