Intelligent distributed video surveillance systems
Author(s)
Bibliographic Information
Intelligent distributed video surveillance systems
（IEE professional applications of computing series, 5）
Institution of Electrical Engineers, c2006
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
There is a growing interest in the development and deployment of surveillance systems in public and private locations. Conventional approaches rely on the installation of wide area CCTV (Closed Circuit Television), but the explosion in the numbers of cameras that have to be monitored, the increasing costs of providing monitoring personnel and the limitations that humans have to maintain sustained levels of concentration severely limit the effectiveness of these systems. Advances in information and communication technologies, such as computer vision for face recognition and human behaviour analysis, digital annotation and storage of video, transmission of video/audio streams over wired and wireless networks, can potentially provide significant improvements in this field.
The book consists of a coherent selection of extended versions of presentations made in two successful IEE symposia on Intelligent Distributed Surveillance Systems (IDSS). It surveys recent development in distributed intelligent surveillance systems and brings together the work of researchers and engineers, system integrators and managers of public and private organisations likely to use such systems.
Table of Contents
Chapter 1: A review of the state-of-the-art in distributed surveillance systems
Chapter 2: Monitoring practice: event detection and system design
Chapter 3: A distributed database for effective management and evaluation of CCTV systems
Chapter 4: A distributed domotic surveillance system
Chapter 5: A general-purpose system for distributed surveillance and communication
Chapter 6: Tracking objects across uncalibrated, arbitrary topology camera networks
Chapter 7: A distributed multi-sensor surveillance system for public transport applications
Chapter 8: Tracking football players with multiple cameras
Chapter 9: A hierarchical multi-sensor framework for event detection in wide environments
by "Nielsen BookData"