Today the use of video surveillance has increased to more and different areas of our world. Industrial companies are using closed circuit television systems to monitor processes which take place in dangerous conditions for humans. The use of the cameras in those areas allows a worker to monitor the processes without being subjected to uninhabitable conditions. At times the closed circuit television system monitoring the processes is required by law in order to maintain safety conditions.

Multimedia surveillance systems is an emerging field that includes signal and image processing, communications, and computer vision. Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions, combines the most recent research results from these areas for use by engineers and end-users involved in the design of surveillance systems in the fields of transportation and services. The book covers emerging surveillance requirements, including new digital sensors for real-time acquisition of surveillance data, low-level image processing algorithms, and event detection methods. It also discusses problems related to knowledge representation in surveillance systems, wireless and wired multimedia networks, and a new generation of surveillance communication tools. Timely information is presented on digital watermarking, broadband multimedia transmission, legal use of surveillance systems, performance evaluation criteria, and other new and emerging topics, along with applications for transports and pedestrian monitoring. The information contained in Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions, bridges the distance between present practice and research findings, and the book is an indispensable reference tool for professional engineers.

Presents insights in the sociological study of surveillance and governance in the context of criminal justice and other control strategies. This volume provides a varied set of theoretical perspectives and substantive research domains on the qualities and quantities of some of the transformations of social control.

Winner of the 2020 McGuffey Longevity Award from the Textbook & Academic Authors Association (TAA) "[The text is] one of the most useful, one-volume, introductory works on intelligence today. [Intelligence] does an excellent job of working through the intricacies of U.S. intelligence." —Richard J. Norton, United States Naval War College Mark M. Lowenthal’s trusted guide is the go-to resource for understanding how the intelligence community’s history, structure, procedures, and functions affect policy decisions. In the fully updated Eighth Edition of Intelligence, the author addresses cyber security and cyber intelligence throughout, expands the coverage of collection, comprehensively updates the chapters on nation-state issues and transnational issues, and looks at foreign intelligence services, both large and small.

China, hitherto barely affected by terrorism, now confronts a phenomenon all too familiar to other nations.

Considered the gold-standard reference on information security, the Information Security Management Handbook provides an authoritative compilation of the fundamental knowledge, skills, techniques, and tools required of today's IT security professional. Now in its sixth edition, this 3200 page, 4 volume stand-alone reference is organized under the C

This edited collection reports the results of a comparative study of video surveillance/CCTV in Germany, Poland, and Sweden. It investigates how video surveillance as technologically mediated social control is affected by national characteristics, with a specific concern for recent political history. The book is motivated by asking what makes video surveillance "tick" in three very different cultural settings, two of which (Poland and Sweden) are virtually unexplored in the literature on surveillance. The selection of countries is motivated by an interest in societies with recent experiences of authoritarianism, and how they respond to the global trend towards intensified technical means of control. With thorough empirical studies, the book constitutes an important contribution to security studies, surveillance studies, and post-communist area studies.

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements. Incorporating both established and new ideas, Background Modeling and Foreground Detection for Video Surveillance provides a complete overview of the concepts, algorithms, and applications related to background modeling and foreground detection. Leaders in the field address a wide range of challenges, including camera jitter and background subtraction. The book presents the top methods and algorithms for detecting moving objects in video surveillance. It covers statistical models, clustering models, neural networks, and fuzzy models. It also addresses sensors, hardware, and implementation issues and discusses the resources and datasets required for evaluating and comparing background subtraction algorithms. The datasets and codes used in the text, along with links to software demonstrations, are available on the book’s website. A one-stop resource on up-to-date models, algorithms, implementations, and benchmarking techniques, this book helps researchers and industry developers understand how to apply background models and foreground detection methods to video surveillance and related areas, such as optical motion capture, multimedia applications, teleconferencing, video editing, and human–computer interfaces. It can also be used in graduate courses on computer vision, image processing, real-time architecture, machine learning, or data mining.