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This book provides a complete overview of the concepts, algorithms, and applications related to background modeling and foreground detection. It presents the top methods and algorithms for detecting moving objects in video surveillance. It covers statistical models, clustering models, neural networks, and fuzzy models. The book 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 are available on the book's website.