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Books > Computing & IT > Applications of computing > Image processing
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Camera Networks - The Acquisition and Analysis of Videos over Wide Areas (Paperback)
Loot Price: R1,068
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Camera Networks - The Acquisition and Analysis of Videos over Wide Areas (Paperback)
Series: Synthesis Lectures on Computer Vision
Expected to ship within 10 - 15 working days
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As networks of video cameras are installed in many applications
like security and surveillance, environmental monitoring, disaster
response, and assisted living facilities, among others, image
understanding in camera networks is becoming an important area of
research and technology development. There are many challenges that
need to be addressed in the process. Some of them are listed below:
- Traditional computer vision challenges in tracking and
recognition, robustness to pose, illumination, occlusion, clutter,
recognition of objects, and activities; - Aggregating local
information for wide area scene understanding, like obtaining
stable, long-term tracks of objects; - Positioning of the cameras
and dynamic control of pan-tilt-zoom (PTZ) cameras for optimal
sensing; - Distributed processing and scene analysis algorithms; -
Resource constraints imposed by different applications like
security and surveillance, environmental monitoring, disaster
response, assisted living facilities, etc. In this book, we focus
on the basic research problems in camera networks, review the
current state-of-the-art and present a detailed description of some
of the recently developed methodologies. The major underlying theme
in all the work presented is to take a network-centric view whereby
the overall decisions are made at the network level. This is
sometimes achieved by accumulating all the data at a central
server, while at other times by exchanging decisions made by
individual cameras based on their locally sensed data. Chapter One
starts with an overview of the problems in camera networks and the
major research directions. Some of the currently available
experimental testbeds are also discussed here. One of the
fundamental tasks in the analysis of dynamic scenes is to track
objects. Since camera networks cover a large area, the systems need
to be able to track over such wide areas where there could be both
overlapping and non-overlapping fields of view of the cameras, as
addressed in Chapter Two: Distributed processing is another
challenge in camera networks and recent methods have shown how to
do tracking, pose estimation and calibration in a distributed
environment. Consensus algorithms that enable these tasks are
described in Chapter Three. Chapter Four summarizes a few
approaches on object and activity recognition in both distributed
and centralized camera network environments. All these methods have
focused primarily on the analysis side given that images are being
obtained by the cameras. Efficient utilization of such networks
often calls for active sensing, whereby the acquisition and
analysis phases are closely linked. We discuss this issue in detail
in Chapter Five and show how collaborative and opportunistic
sensing in a camera network can be achieved. Finally, Chapter Six
concludes the book by highlighting the major directions for future
research. Table of Contents: An Introduction to Camera Networks /
Wide-Area Tracking / Distributed Processing in Camera Networks /
Object and Activity Recognition / Active Sensing / Future Research
Directions
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