Large-scale video networks are of increasing importance in a
wide range of applications. However, the development of automated
techniques for aggregating and interpreting information from
multiple video streams in real-life scenarios is a challenging area
of research.
Collecting the work of leading researchers from a broad range of
disciplines, this timely text/reference offers an in-depth survey
of the state of the art in distributed camera networks. The book
addresses a broad spectrum of critical issues in this highly
interdisciplinary field: current challenges and future directions;
video processing and video understanding; simulation, graphics,
cognition and video networks; wireless video sensor networks,
communications and control; embedded cameras and real-time video
analysis; applications of distributed video networks; and
educational opportunities and curriculum-development.
Topics and features: Presents an overview of research in areas
of motion analysis, invariants, multiple cameras for detection,
object tracking and recognition, and activities in video networks
Provides real-world applications of distributed video networks,
including force protection, wide area activities, port security,
and recognition in night-time environments Describes the challenges
in graphics and simulation, covering virtual vision, network
security, human activities, cognitive architecture, and displays
Examines issues of multimedia networks, registration, control of
cameras (in simulations and real networks), localization and bounds
on tracking Discusses system aspects of video networks, with
chapters on providing testbed environments, data collection on
activities, new integrated sensors for airborne sensors, face
recognition, and building sentient spaces Investigates educational
opportunities and curriculum development from the perspective of
computer science and electrical engineering
This unique text will be of great interest to researchers and
graduate students of computer vision and pattern recognition,
computer graphics and simulation, image processing and embedded
systems, and communications, networks and controls. The large
number of example applications will also appeal to application
engineers.
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