An FLIR video surveillance system to avoid bridge-ship collision

In this paper, a forward-looking infrared (FLIR) video surveillance system is presented for collision avoidance of moving ships to bridge piers. An image pre-processing algorithm is proposed to reduce clutter noises by multi-scale fractal analysis, in which the blanket method is used for fractal feature computation. Then, the moving ship detection algorithm is developed from image differentials of the fractal feature in the region of surveillance between regularly interval frames. Experimental results have shown that the approach is feasible and effective. It has achieved real-time and reliable alert to avoid collisions of moving ships to bridge piers

Motion Detection for Video Surveillance

This thesis is related to the broad subject of automatic motion detection and analysis in videosurveillance image sequence. Besides, proposing the new unique solution, some of the previousalgorithms are evaluated, where some of the approaches are noticeably complementary sometimes.In real time surveillance, detecting and tracking multiple objects and monitoring their activities inboth outdoor and indoor environment are challenging task for the video surveillance system. Inpresence of a good number of real time problems limits scope for this work since the beginning. Theproblems are namely, illumination changes, moving background and shadow detection.An improved background subtraction method has been followed by foreground segmentation, dataevaluation, shadow detection in the scene and finally the motion detection method. The algorithm isapplied on to a number of practical problems to observe whether it leads us to the expected solution.Several experiments are done under different challenging problem environment. Test result showsthat under most of the problematic environment, the proposed algorithm shows the better qualityresult.

Digital surveillance based on video CODEC System-on-a-Chip (SoC) platforms

Today, most conventional surveillance networks are based on analog system, which has a lot of constraints like manpower and high-bandwidth requirements. It becomes the barrier for today's surveillance network development. This dissertation describes a digital surveillance network architecture based on the H.264 coding/decoding (CODEC) System-on-a-Chip (SoC) platform. The proposed digital surveillance network architecture includes three major layers: software layer, hardware layer, and the network layer. The following outlines the contributions to the proposed digital surveillance network architecture. (1) We implement an object recognition system and an object categorization system on the software layer by applying several Digital Image Processing (DIP) algorithms. (2) For better compression ratio and higher video quality transfer, we implement two new modules on the hardware layer of the H.264 CODEC core, i.e., the background elimination module and the Directional Discrete Cosine Transform (DDCT) module. (3) Furthermore, we introduce a Digital Signal Processor (DSP) sub-system on the main bus of H.264 SoC platforms as the major hardware support system for our software architecture. Thus we combine the software and hardware platforms to be an intelligent surveillance node. Lab results show that the proposed surveillance node can dramatically save the network resources like bandwidth and storage capacity.

Communication mechanisms and middleware for distributed video surveillance

A new generation of advanced surveillance systems is being conceived as a collection of multi-sensor components such as video, audio and mobile robots interacting in a cooperating manner to enhance situation awareness capabilities to assist surveillance personnel. The prominent issues that these systems face are: the improvement of existing intelligent video surveillance systems, the inclusion of wireless networks, the use of low power sensors, the design architecture, the communication between different components, the fusion of data emerging from different type of sensors, the location of personnel (providers and consumers) and the scalability of the system. This paper focuses on the aspects pertaining to real-time distributed architecture and scalability. For example, to meet real-time requirements, these systems need to process data streams in concurrent environments, designed by taking into account scheduling and synchronisation. The paper proposes a framework for the design of visual surveillance systems based on components derived from the principles of Real Time Networks/Data Oriented Requirements Implementation Scheme (RTN/DORIS). It also proposes the implementation of these components using the well-known middleware technology Common Object Request Broker Architecture (CORBA). Results using this architecture for video surveillance are presented through an implemented prototype.

Foreground segmentation in depth imagery using depth and spatial dynamic models for video surveillance applications

Low-cost systems that can obtain a high-quality foreground segmentation almostindependently of the existing illumination conditions for indoor environments are verydesirable, especially for security and surveillance applications. In this paper, a novelforeground segmentation algorithm that uses only a Kinect depth sensor is proposedto satisfy the aforementioned system characteristics. This is achieved by combininga mixture of Gaussians-based background subtraction algorithm with a new Bayesiannetwork that robustly predicts the foreground/background regions between consecutivetime steps. The Bayesian network explicitly exploits the intrinsic characteristics ofthe depth data by means of two dynamic models that estimate the spatial and depthevolution of the foreground/background regions. The most remarkable contribution is thedepth-based dynamic model that predicts the changes in the foreground depth distributionbetween consecutive time steps. This is a key difference with regard to visible imagery,where the color/gray distribution of the foreground is typically assumed to be constant.Experiments carried out on two different depth-based databases demonstrate that theproposed combination of algorithms is able to obtain a more accurate segmentation of theforeground/background than other state-of-the art approaches.

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features allow the construction of a robust representation of the environment and interpret the behavior of mobile agents in the scene. It is also necessary to integrate the vision module into a global system that operates in a complex environment by receiving images from multiple acquisition devices at video frequency. Offering relevant information to higher level systems, monitoring and making decisions in real time, it must accomplish a set of requirements, such as: time constraints, high availability, robustness, high processing speed and re-configurability. We have built a system able to represent and analyze the motion in video acquired by a multi-camera network and to process multi-source data in parallel on a multi-GPU architecture.

Epidemiology of malaria, schistosomiasis, geohelminths, anemia and malnutrition in the context of a demographic surveillance system in Northern Angola

Background: Malaria, schistosomiasis and geohelminth infection are linked to maternal and child morbidity and mortality in sub-Saharan Africa. Knowing the prevalence levels of these infections is vital to guide governments towards the implementation of successful and cost-effective disease control initiatives. Methodology/Principal Findings: A cross-sectional study of 1,237 preschool children (0–5 year olds), 1,142 school-aged children (6–15 year olds) and 960 women (.15 year olds) was conducted to understand the distribution of malnutrition, anemia, malaria, schistosomiasis (intestinal and urinary) and geohelminths in a north-western province of Angola. We used a recent demographic surveillance system (DSS) database to select and recruit suitable households. Malnutrition was common among children (23.3% under-weight, 9.9% wasting and 32.2% stunting), and anemia was found to be a severe public health problem (i.e., .40%). Malaria prevalence was highest among preschool children reaching 20.2%. Microhematuria prevalence levels reached 10.0% of preschool children, 16.6% of school-aged children and 21.7% of mothers. Geohelminth infections were common, affecting 22.3% of preschool children, 31.6% of school-aged children and 28.0% of mothers. Conclusions: Here we report prevalence levels of malaria, schistosomiasis and geohelminths; all endemic in this poorly described area where a DSS has been recently established. Furthermore we found evidence that the studied infections are associated with the observed levels of anemia and malnutrition, which can justify the implementation of integrated interventions for the control of these diseases and morbidities.

Video-­‐monitorization system for a realistic driving simulator

Nos últimos anos, o ISEP em colaboração com a FEUP e outras Universidades, criou um simulador realista de condução chamado DRIS, que tem como objectivo ajudar em trabalhos de investigação de diferentes áreas, como engenharia civil, computação gráfica, psicologia, educação, etc. O resultado deste trabalho pretende ajudar os profissionais a analisarem os dados recolhidos em cada experiência de condução, a fim de permitir o estudo das reações do motorista em diferentes obstáculos durante um percurso. O simulador DRIS é constituído por uma tela branca, onde os ambientes de simulação são projetados; um carro real, onde é feita a experiência de condução e quatro câmaras colocadas no carro. Destas quatro câmaras, três estão dentro do carro e uma fora do carro. Cada câmara está focada estrategicamente, em partes críticas da condução: a estrada, o motorista, os pedais e os controles (mudança de marcha, volante, os comandos do limpador, etc). Cada uma das câmaras grava um vídeo, que é guardado em um computador colocado em uma das salas de controlo, dentro do Laboratório de Análise de Tráfego na FEUP. Além disso, um arquivo de texto é guardado no mesmo computador. Este arquivo de texto contém algumas informações sobre a experiência do motorista, como as coordenadas do carro, a velocidade do carro, o tempo, etc O trabalho desta Tese surge com a finalidade de melhorar a forma de os profissionais analisar e interpretar os dados recolhidos a partir de uma experiência de condução no DRIS. Para o efeito, foi criado um sistema de vídeo-­‐monitorização, que consiste em uma aplicação de vídeo, que permite a visualização de quatro vídeos simultaneamente, e ler um arquivo de texto, que contém todos os dados recolhidos na experiência. Ambos (vídeo e texto) têm de estar sincronizados com o mesmo tempo de forma a permitir ao utilizador, navegar backward e forward com a ajuda de um cursor. Além disso, como qualquer reprodutor de vídeo básico, contém alguns botões para controlar o status do vídeo (Play, Stop, Pause) e permiti que os profissionais analisem com detalhe os dados dos quatro vídeos. Aproveitando os avanços no desenvolvimento de software, a aplicação foi feita em C++ usando a biblioteca Qt, em ambiente de desenvolvimento integrado do Qt Creator, o que tornou mais fácil a implementação. No fim deste relatório (capítulo 4) é anexado um manual do usuário, a fim de explicar e ajudar os profissionais a usar a aplicação.

European Home and Leisure Accident Surveillance System report for Ireland 2001

EHLASS provides a harmonised approach throughout the EU to facilitate the analyses of intercountry differences in modes and distributions of home and leisure accidents. EHLASS contributes to the formulation of EU policies and initiatives on accidents and product safety. EHLASS is the only source of detailed information on home and leisure accidents in Ireland. Some general information is available through the Hospital In-Patient Enquiry (HIPE) system but this concentrates on medical diagnoses rather than on specific causes of accidents.This report is the eleventh national EHLASS report for Ireland. Download document here

European Home and Leisure Accident Surveillance System Report for Ireland 1998

The EHLASS survey was set up in April 1986 as a five-year demonstration project. The objective was to monitor home and leisure accidents in a harmonised manner, throughout the EU, to determine their causes, the circumstances of their occurrence, their consequences and, most importantly, to provide information on consumer products involved. Armed with accurate information, it was felt that consumer policy could be directed at the most serious problems andthe best use could be made of available resources.   Data collection systems were set up for the collection of EHLASS data in the casualty departments of selected hospitals in each of the member states. The information was subsequently gathered together by the European Commission in Brussels. Extensive analysis was undertaken on 778,838 accidents reported throughout the EU. Centralised analysis of EHLASS data proved problematic due to lack of  co-ordination in data quality. In 1989 it was decided that each member state should  produce its own annual EHLASS report in a harmonised format specified by the European Commission. This report is the ninth such report for Ireland. Download the Report here

European Home and Leisure Accident Surveillance System report for Ireland 1999

The EHLASS survey was set up in April 1986 as a five-year demonstration project.  The objective was to monitor home and leisure accidents in a harmonised manner, throughout the EU, to determine their causes, the circumstances of their occurrence, their consequences and, most importantly, to provide information on consumer products involved. Armed with accurate information, it was felt that consumer policy could be directed at the most serious problems and the best use could be made of available resources Download the Report here

European Home and Leisure Accident Surveillance System report for Ireland 2000

The EHLASS survey was set up in April 1986 as a five-year demonstration project. The objective was to monitor home and leisure accidents in a harmonised manner, throughout the EU, to determine their causes, the circumstances of their occurrence, their consequences and, most importantly, to provide information on consumer products involved. Armed with accurate information, it was felt that consumer policy could be directed at the most serious problems andthe best use could be made of available resources Download the Report here

European Home and Leisure Accident Surveillance System report for Ireland 2002

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Swiss behavioural surveillance system 1986-2008

Background: Second generation surveillance is a central feature of HIV/AIDS policy in Switzerland. Behavioural surveys in the general population, men having sex with men (MSM) and injecting drug users (IDU) have been regularly conducted since the early nineties. After peaking at 2144 cases in 1991, the number of new HIV cases notified to the Ministry of Health decreased in each subpopulation until 2000 (n=578) and then rose again to 735 in 2006. The recent increase is mainly due to MSM. Methods: In the general population, representative cross-sectional telephone surveys have been conducted 11 times since 1987. Surveys in convenience samples of MSM, recruited through gay newspapers and gay organisations, have been conducted 5 times since 1992. Surveys among IDU's attending needle exchange programmes have been conducted 5 times since 1993. Condom statistics, available since 1986, are included in the behavioural surveillance system. Results: In the general population aged 17-30, systematic condom use with casual partners in the last six months increased from 8.0% in 1987 to 75.8% in 2007. The proportion of MSM reporting anal intercourse with casual partners in the last 12 months increased from 61% in 1992 to 79% in 2007 (lowest value 56% in 1994) and unprotected anal intercourse with these partners increased from 14 % in 1992 to 24% in 2007 (lowest value 9% in 1994). The proportion of IDUs reporting borrowing used injection equipment decreased from 16.5% in 1993 to 8.9% in 2006. The ratio condoms released to retail/population aged 15-65 increased from 1.68 in 1986 to 3.8 in 2006. Conclusions: It has been possible to maintain a coherent behavioural surveillance system on a long-term basis, allowing for the monitoring of HIV prevention policy outcome and forseeing the development and distribution of new HIV cases in the population.