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Background Modeling and Foreground Detection for Video Surveillance (Paperback)
Loot Price: R1,550
Discovery Miles 15 500
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Background Modeling and Foreground Detection for Video Surveillance (Paperback)
Expected to ship within 12 - 19 working days
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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.
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