There is a growing interest in the development and deployment of intelligent surveillance systems in public and private locations. This book consists of a selection of extended versions of presentations made in two symposia on intelligent distributed surveillance systems (IDSS) and brings together the latest developments in the field.
Protecting Privacy in Video Surveillance offers the state of the art from leading researchers and experts in the field. This broad ranging volume discusses the topic from various technical points of view and also examines surveillance from a societal perspective. A comprehensive introduction carefully guides the reader through the collection of cutting-edge research and current thinking. The technical elements of the field feature topics from MERL blind vision, stealth vision and privacy by de-identifying face images, to using mobile communications to assert privacy from video surveillance, and using wearable computing devices for data collection in surveillance environments. Surveillance and society is approached with discussions of security versus privacy, the rise of surveillance, and focusing on social control. This rich array of the current research in the field will be an invaluable reference for researchers, as well as graduate students.
Video surveillance systems, often referred to as closed-circuit television (CCTV), have become a defining feature of modern life. Their widespread use by many different agencies for a range of purposes is no longer surprising, and is generally accepted in most European countries. Although broad academic interest accompanied the proliferation of CCTV in the mid to late 1990s, issues of governance and public policy are rarely explicitly addressed by social scientists and many of the concerns raised during the debate which followed the video surveillance revolution remain unanswered, and are as pertinent today as they were then. This book brings into focus the ways in which the implementation of cameras and systems, and their operation and technical features, are the product of decisions and policies made in a variety of contexts and by a variety of authorities and interested parties. It examines the cultural context in which cameras are deployed and explores how this context can shape their diffusion and use. The book places particular emphasis on studies of video surveillance in different national, institutional, cultural and linguistic settings. The book is divided into two parts. The chapters in part one are theoretically informed contributions from a variety of academic disciplines. Part two consists of five case studies, which are less theoretical and more descriptive, but which offer important insights for the governance of video surveillance cameras. Providing a fascinating study of the wider implications of video surveillance and its pervasive use, this book will be of interest to all those interested in how this phenomenon affects all of us in society today.
This book presents the latest achievements and developments in the field of video surveillance. The chapters selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. Besides the introduction of new achievements in video surveillance, this book also presents some good overviews of the state-of-the-art technologies as well as some interesting advanced topics related to video surveillance. Summing up the wide range of issues presented in the book, it can be addressed to a quite broad audience, including both academic researchers and practitioners in halls of industries interested in scheduling theory and its applications. I believe this book can provide a clear picture of the current research status in the area of video surveillance and can also encourage the development of new achievements in this field.
From the streets of London to subway stations in New York City, hundreds of thousands of surveillance cameras ubiquitously collect hundreds of thousands of videos, often running 24/7. How can such vast volumes of video data be stored, analyzed, indexed, and searched? How can advanced video analysis and systems autonomously recognize people and detect targeted activities real-time? Collating and presenting the latest information Intelligent Video Surveillance: Systems and Technology explores these issues, from fundamentals principle to algorithmic design and system implementation. An Integrated discussion of key research and applications Written and edited by a collection of industry experts, the book presents state-of-the-art technologies and systems in intelligent video surveillance. The book integrates key research, design, and implementation themes of intelligent video surveillance systems and technology into one comprehensive reference. The chapters cover the computational principles behind the technologies and systems and include system implementation issues as well as examples of successful applications of these technologies. Builds a foundation for future developments Changing appearance caused by changing viewpoints, illumination, expression, and movement, self/cross body occlusion, modeling of cluttered background capable of efficient background subtraction for object detection, and spatial and temporal alignment of multiple cameras are just a few of the challenges that remain in further developing and refining intelligent video surveillance technology and systems. Fully illustrated with line art, tables, and photographs demonstrating the collected video and results obtained using the related algorithms, including a color plate section, the book provides a high-level blueprint for advances and insights into future directions of the field.
The goal of Intelligent video surveillance systems is to efficiently extract useful information from a considerable number of videos collected by surveillance cameras by automatically detecting, tracking and recognizing objects of interest, and understanding and analyzing their activities. Video surveillance has a huge amount of applications, from public to private places. These applications require monitoring indoor and outdoor scenes. Nowadays, there are a considerable number of digital surveillance cameras collecting a huge amount of data on a daily basis. Researchers are urged to develop intelligent systems to efficiently extract and visualize useful information from this big data source. The exponential effort on the development of new algorithms and systems for video surveillance is confirmed by the amount of effort invested in projects and companies, the creation on new startups worldwide and, not less important, in the quantity and quality of the manuscripts published in a considerable number of journals and conferences worldwide. This book is an outcome of research done by several researchers who have highly contributed to the field of Video Surveillance. The main goal is to present recent advances in this important topic for the Image Processing community.
"This book presents empirical research and acquired experience on the original solutions and mathematical algorithms for motion detection and object identification problems, emphasizing a wide variety of applications of security systems"--Provided by publisher.
This book will provide an overview of techniques for visual monitoring including video surveillance and human activity understanding. It will present the basic techniques of processing video from static cameras, starting with object detection and tracking. The author will introduce further video analytic modules including face detection, trajectory analysis and object classification. Examining system design and specific problems in visual surveillance, such as the use of multiple cameras and moving cameras, the author will elaborate on privacy issues focusing on approaches where automatic processing can help protect privacy.
With surveillance cameras installed everywhere and continuously streaming thousands of hours of video, how can that huge amount of data be analyzed or even be useful? Is it possible to search those countless hours of videos for subjects or events of interest? Shouldn’t the presence of a car stopped at a railroad crossing trigger an alarm system to prevent a potential accident? In the chapters selected for this book, experts in video surveillance provide answers to these questions and other interesting problems, skillfully blending research experience with practical real life applications. Academic researchers will find a reliable compilation of relevant literature in addition to pointers to current advances in the field. Industry practitioners will find useful hints about state-of-the-art applications. The book also provides directions for open problems where further advances can be pursued.
Belonging to the wider academic field of computer vision, videoanalytics has aroused a phenomenal surge of interest since thecurrent millennium. Video analytics is intended to solve theproblem of the incapability of exploiting video streams in realtime for the purpose of detection or anticipation. It involvesanalyzing the videos using algorithms that detect and track objectsof interest over time and that indicate the presence of events orsuspect behavior involving these objects. The aims of this book are to highlight the operational attempts ofvideo analytics, to identify possible driving forces behindpotential evolutions in years to come, and above all to present thestate of the art and the technological hurdles which have yet to beovercome. The need for video surveillance is introduced through twomajor applications (the security of rail transportation systems anda posteriori investigation). The characteristics of the videosconsidered are presented through the cameras which enable captureand the compression methods which allow us to transport and storethem. Technical topics are then discussed – the analysis ofobjects of interest (detection, tracking and recognition),“high-level” video analysis, which aims to give asemantic interpretation of the observed scene (events, behaviors,types of content). The book concludes with the problem ofperformance evaluation.
The use of digital surveillance technology is rapidly growing as it becomes significantly cheaper for live and remote monitoring. The second edition of Digital Video Surveillance and Security provides the most current and complete reference for security professionals and consultants as they plan, design, and implement surveillance systems to secure their places of business. By providing the necessary explanations of terms, concepts, and technological capabilities, this revised edition addresses the newest technologies and solutions available on the market today. With clear descriptions and detailed illustrations, Digital Video Surveillance and Security is the only book that shows the need for an overall understanding of the digital video surveillance (DVS) ecosystem. Highly visual with easy-to-read diagrams, schematics, tables, troubleshooting charts, and graphs Includes design and implementation case studies and best practices Uses vendor-neutral comparisons of the latest camera equipment and recording options
