The Evolution of First Person Vision Methods: A Survey

The emergence of new wearable technologies such as action cameras and smart-glasses has increased the interest of computer vision scientists in the First Person perspective. Nowadays, this field is attracting attention and investments of companies aiming to develop commercial devices with First Person Vision recording capabilities. Due to this interest, an increasing demand of methods to process these videos, possibly in real-time, is expected. Current approaches present a particular combinations of different image features and quantitative methods to accomplish specific objectives like object detection, activity recognition, user machine interaction and so on. This paper summarizes the evolution of the state of the art in First Person Vision video analysis between 1997 and 2014, highlighting, among others, most commonly used features, methods, challenges and opportunities within the field.Comment: First Person Vision, Egocentric Vision, Wearable Devices, Smart Glasses, Computer Vision, Video Analytics, Human-machine Interactio

Improving Indoor Security Surveillance by Fusing Data from BIM, UWB and Video

Indoor physical security, as a perpetual and multi-layered phenomenon, is a time-intensive and labor-consuming task. Various technologies have been leveraged to develop automatic access control, intrusion detection, or video monitoring systems. Video surveillance has been significantly enhanced by the advent of Pan-Tilt-Zoom (PTZ) cameras and advanced video processing, which together enable effective monitoring and recording. The development of ubiquitous object identification and tracking technologies provides the opportunity to accomplish automatic access control and tracking. Intrusion detection has also become possible through deploying networks of motion sensors for alerting about abnormal behaviors. However, each of the above-mentioned technologies has its own limitations. This thesis presents a fully automated indoor security solution that leverages an Ultra-wideband (UWB) Real-Time Locating System (RTLS), PTZ surveillance cameras and a Building Information Model (BIM) as three sources of environmental data. Providing authorized persons with UWB tags, unauthorized intruders are distinguished as the mismatch observed between the detected tag owners and the persons detected in the video, and intrusion alert is generated. PTZ cameras allow for wide-area monitoring and motion-based recording. Furthermore, the BIM is used for space modeling and mapping the locations of intruders in the building. Fusing UWB tracking, video and spatial data can automate the entire security procedure from access control to intrusion alerting and behavior monitoring. Other benefits of the proposed method include more complex query processing and interoperability with other BIM-based solutions. A prototype system is implemented that demonstrates the feasibility of the proposed method

Personal Privacy Protection within Pervasive RFID Environments

Recent advancements in location tracking technologies have increased the threat to an individual\u27s personal privacy. Radio frequency identification (RFID) technology allows for the identification and potentially continuous tracking of an object or individual, without obtaining the individual\u27s consent or even awareness that the tracking is taking place. Although many positive applications for RFID technology exist, for example in the commercial sector and law enforcement, the potential for abuse in the collection and use of personal information through this technology also exists. Location data linked to other types of personal information allows not only the detection of past spatial travel and activity patterns, but also inferences regarding past and future behavior and preferences. Legislative and technological solutions to deal with the increased privacy threat raised by this and similar tracking technologies have been proposed. Such approaches in isolation have significant limitations. This thesis hypothesizes that an approach may be developed with high potential for sufficiently protecting individual privacy in the use of RFID technologies while also strongly supporting marketplace uses of such tags. The research develops and investigates the limits of approaches that might be us,ed to protect privacy in pervasive RFID surveillance environments. The conclusion is ultimately reached that an approach facilitating individual control over the linking of unique RFID tag ID numbers to personal identity implemented though a combination of legal controls and technological capabilities would be a highly desirable option in balancing the interests of both the commercial sector and the information privacy interests of individuals. The specific model developed is responsive to the core ethical principle of autonomy of the individual and as such is also intended to be more responsive to the needs of individual consumers. The technological approach proposed integrated with enabling privacy legislation and private contract law to enable interactive alteration of privacy preferences should result in marketplace solutions acceptable to both potential commercial users and those being tracked

Personal Privacy Protection within Pervasive RFID Environments

Recent advancements in location tracking technologies have increased the threat to an individual\u27s personal privacy. Radio frequency identification (RFID) technology allows for the identification and potentially continuous tracking of an object or individual, without obtaining the individual\u27s consent or even awareness that the tracking is taking place. Although many positive applications for RFID technology exist, for example in the commercial sector and law enforcement, the potential for abuse in the collection and use of personal information through this technology also exists. Location data linked to other types of personal information allows not only the detection of past spatial travel and activity patterns, but also inferences regarding past and future behavior and preferences. Legislative and technological solutions to deal with the increased privacy threat raised by this and similar tracking technologies have been proposed. Such approaches in isolation have significant limitations. This thesis hypothesizes that an approach may be developed with high potential for sufficiently protecting individual privacy in the use of RFID technologies while also strongly supporting marketplace uses of such tags. The research develops and investigates the limits of approaches that might be us,ed to protect privacy in pervasive RFID surveillance environments. The conclusion is ultimately reached that an approach facilitating individual control over the linking of unique RFID tag ID numbers to personal identity implemented though a combination of legal controls and technological capabilities would be a highly desirable option in balancing the interests of both the commercial sector and the information privacy interests of individuals. The specific model developed is responsive to the core ethical principle of autonomy of the individual and as such is also intended to be more responsive to the needs of individual consumers. The technological approach proposed integrated with enabling privacy legislation and private contract law to enable interactive alteration of privacy preferences should result in marketplace solutions acceptable to both potential commercial users and those being tracked

A Computational Architecture Based on RFID Sensors for Traceability in Smart Cities

Information Technology and Communications (ICT) is presented as the main element in order to achieve more efficient and sustainable city resource management, while making sure that the needs of the citizens to improve their quality of life are satisfied. A key element will be the creation of new systems that allow the acquisition of context information, automatically and transparently, in order to provide it to decision support systems. In this paper, we present a novel distributed system for obtaining, representing and providing the flow and movement of people in densely populated geographical areas. In order to accomplish these tasks, we propose the design of a smart sensor network based on RFID communication technologies, reliability patterns and integration techniques. Contrary to other proposals, this system represents a comprehensive solution that permits the acquisition of user information in a transparent and reliable way in a non-controlled and heterogeneous environment. This knowledge will be useful in moving towards the design of smart cities in which decision support on transport strategies, business evaluation or initiatives in the tourism sector will be supported by real relevant information. As a final result, a case study will be presented which will allow the validation of the proposal

Strategies for Integrating the Internet of Things in Educational Institutions

The introduction of the Internet of Things (IoT) into educational institutions has necessitated the integration of IoT devices in the information technology (IT) infrastructural environment of educational institutions. Many IT leaders at educational institutions, however, lack strategies for integrating and deploying IoT devices in their institutions, which has resulted in numerous security breaches. The purpose of this study was to explore security strategies adopted by IT administrators to prevent data breaches resulting from the integration of IoT devices in their educational institutions. The diffusion of innovations theory served as the conceptual framework for this qualitative multiple case study. Eleven IT leaders in 11 public K–12 educational institutions, who had successfully integrated IoT in their educational institutions in the United States Midwest region, were interviewed. Thematic analysis was the data analysis strategy. The 3 major themes that emerged were (a) organizational breach prevention, (b) infrastructure management—external to IT, and (c) policy management—internal to IT. A key recommendation is for IT leaders to develop strategies to harness the efficiencies and stabilities that exist during the integration of IoT devices in their educational institutions. The implications for social change include the potential for securely transforming the delivery of education to students and ensuring the safety of academic personnel by identifying strategies that IT leaders can use to securely integrate IoT devices in educational settings

Machine Learning based Anomaly Detection for Cybersecurity Monitoring of Critical Infrastructures

openManaging critical infrastructures requires to increasingly rely on Information and Communi- cation Technologies. The last past years showed an incredible increase in the sophistication of attacks. For this reason, it is necessary to develop new algorithms for monitoring these infrastructures. In this scenario, Machine Learning can represent a very useful ally. After a brief introduction on the issue of cybersecurity in Industrial Control Systems and an overview of the state of the art regarding Machine Learning based cybersecurity monitoring, the present work proposes three approaches that target different layers of the control network architecture. The first one focuses on covert channels based on the DNS protocol, which can be used to establish a command and control channel, allowing attackers to send malicious commands. The second one focuses on the field layer of electrical power systems, proposing a physics-based anomaly detection algorithm for Distributed Energy Resources. The third one proposed a first attempt to integrate physical and cyber security systems, in order to face complex threats. All these three approaches are supported by promising results, which gives hope to practical applications in the next future.openXXXIV CICLO - SCIENZE E TECNOLOGIE PER L'INGEGNERIA ELETTRONICA E DELLE TELECOMUNICAZIONI - Elettromagnetismo, elettronica, telecomunicazioniGaggero, GIOVANNI BATTIST

Campus Communications Systems: Converging Technologies

This book is a rewrite of Campus Telecommunications Systems: Managing Change, a book that was written by ACUTA in 1995. In the past decade, our industry has experienced a thousand-fold increase in data rates as we migrated from 10 megabit links (10 million bits per second) to 10 gigabit links (10 billion bits per second), we have seen the National Telecommunications Policy completely revamped; we have seen the combination of voice, data, and video onto one network; and we have seen many of our service providers merge into larger corporations able to offer more diverse services. When this book was last written, A CUT A meant telecommunications, convergence was a mathematical term, triple play was a baseball term, and terms such as iPod, DoS, and QoS did not exist. This book is designed to be a communications primer to be used by new entrants into the field of communications in higher education and by veteran communications professionals who want additional information in areas other than their field of expertise. There are reference books and text books available on every topic discussed in this book if a more in-depth explanation is desired. Individual chapters were authored by communications professionals from various member campuses. This allowed the authors to share their years of experience (more years than many of us would care to admit to) with the community at large. Foreword Walt Magnussen, Ph.D. Preface Ron Kovac, Ph.D. 1 The Technology Landscape: Historical Overview . Walt Magnussen, Ph.D. 2 Emerging Trends and Technologies . Joanne Kossuth 3 Network Security . Beth Chancellor 4 Security and Disaster Planning and Management Marjorie Windelberg, Ph.D. 5 Student Services in a University Setting . Walt Magnussen, Ph.D. 6 Administrative Services David E. O\u27Neill 7 The Business Side of Information Technology George Denbow 8 The Role of Consultants . David C. Metz Glossary Michelle Narcavag

Internet of Things for system integrity: a comprehensive survey on security, attacks and countermeasures for industrial applications

The growth of the Internet of Things (IoT) offers numerous opportunities for developing industrial applications such as smart grids, smart cities, smart manufacturers, etc. By utilising these opportunities, businesses engage in creating the Industrial Internet of Things (IIoT). IoT is vulnerable to hacks and, therefore, requires various techniques to achieve the level of security required. Furthermore, the wider implementation of IIoT causes an even greater security risk than its benefits. To provide a roadmap for researchers, this survey discusses the integrity of industrial IoT systems and highlights the existing security approaches for the most significant industrial applications. This paper mainly classifies the attacks and possible security solutions regarding IoT layers architecture. Consequently, each attack is connected to one or more layers of the architecture accompanied by a literature analysis on the various IoT security countermeasures. It further provides a critical analysis of the existing IoT/IIoT solutions based on different security mechanisms, including communications protocols, networking, cryptography and intrusion detection systems. Additionally, there is a discussion of the emerging tools and simulations used for testing and evaluating security mechanisms in IoT applications. Last, this survey outlines several other relevant research issues and challenges for IoT/IIoT security