Detection And Intelligent Systems For Homeland Security

Detection and Intelligent Systems for Homeland Security features articles from the Wiley Handbook of Science and Technology for Homeland Security covering advanced technology for image and video interpretation systems used for surveillance, which help in solving such problems as identifying faces from live streaming or stored videos. Biometrics for human identification, including eye retinas and irises, and facial patterns are also presented. The book then provides information on sensors for detection of explosive and radioactive materials and methods for sensing chemical and biological agents in urban environments.

Reflects a decade of leading-edge research on intelligence and security informatics. Dr Chen is researcher at the Artificial Intelligence Laboratory and the NSF COPLINK Center for Homeland Security Information Technology Research. Describes real-world community situations. Targets wide-ranging audience: from researchers in computer science, information management and information science via analysts and policy makers in federal departments and national laboratories to consultants in IT hardware, communication, and software companies.

"This book provides an overview of complex systems' techniques and presents both guidelines and specific instances of how they can be applied to security and defense applications"--Provided by publisher.

This new textbook outlines the main theories and concepts from a variety of disciplines that support homeland security operations, structures and strategies. Following the terrorist attacks of September 11th, "homeland security" (HLS) grew in importance within the U.S. government (and around the world) and matured from a concept discussed among a relatively small cadre of policymakers and strategic thinkers to a broadly discussed issue in Congress and society with a growing academic presence. Yet the ability to discern a theory of homeland security that would support overall security strategy has been more elusive to both scholars and policymakers. This textbook aims to elucidate a grand theory of homeland security by leveraging the theoretical underpinnings of the disciplines that comprise the strategies, operations and structures of the HLS enterprise. In this way, each chapter contributes to a grand theory of homeland security as it explores a different discipline that influences or supports a domain of the homeland security enterprise. These chapters cover intelligence systems, terrorism origins and ideologies, emergency management, environmental and human security, cybersecurity policy, crime and security, global governance, risk management, public health, law and policy, technology, interagency collaboration and the sociology of security. This book will be essential reading for students of Homeland Security and Emergency Response, and recommended reading for students of terrorism, intelligence, cybersecurity, risk management and national security.

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Effective Surveillance for Homeland Security: Balancing Technology and Social Issues provides a comprehensive survey of state-of-the-art methods and tools for the surveillance and protection of citizens and critical infrastructures against natural and deliberate threats. Focusing on current technological challenges involving multi-disciplinary problem analysis and systems engineering approaches, it provides an overview of the most relevant aspects of surveillance systems in the framework of homeland security. Addressing both advanced surveillance technologies and the related socio-ethical issues, the book consists of 21 chapters written by international experts from the various sectors of homeland security. Part I, Surveillance and Society, focuses on the societal dimension of surveillance—stressing the importance of societal acceptability as a precondition to any surveillance system. Part II, Physical and Cyber Surveillance, presents advanced technologies for surveillance. It considers developing technologies that are part of a framework whose aim is to move from a simple collection and storage of information toward proactive systems that are able to fuse several information sources to detect relevant events in their early incipient phase. Part III, Technologies for Homeland Security, considers relevant applications of surveillance systems in the framework of homeland security. It presents real-world case studies of how innovative technologies can be used to effectively improve the security of sensitive areas without violating the rights of the people involved. Examining cutting-edge research topics, the book provides you with a comprehensive understanding of the technological, legislative, organizational, and management issues related to surveillance. With a specific focus on privacy, it presents innovative solutions to many of the issues that remain in the quest to balance security with the preservation of privacy that society demands.