Background Modeling and Foreground Detection for Video Surveillance

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.

List of contents

Introduction and Background. Traditional and Recent Models. Applications in Video Surveillance. Sensors, Hardware, and Implementations. Benchmarking and Evaluation. Index.

About the author

Thierry Bouwmans, Fatih Porikli, Benjamin Höferlin, Antoine Vacavant

Product details

• Authors: Thierry Porikli Bouwmans
• Assisted by: Thierry Bouwmans (Editor), Bouwmans Thierry (Editor), Benjamin Höferlin (Editor), Fatih Porikli (Editor), Porikli Fatih (Editor), Antoine Vacavant (Editor), Vacavant Antoine (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 25.07.2014
• EAN: 9781482205374
• ISBN: 978-1-4822-0537-4
• No. of pages: 632
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > IT; Artificial Intelligence, COMPUTERS / Optical Data Processing, Image processing, COMPUTERS / Artificial Intelligence / General