Background modeling and foreground detection for video surveillance

摘要

Providing a complete and extensive presentation of up-to-date video surveillance image processing techniques used for background modeling/removal and foreground object detection/tracking, this is an absolute "must-read book" for people working in this domain. It contains five parts, beginning with a very comprehensive introduction about background modeling and foreground detection, presenting a very complete survey of classical and recent techniques, problems and challenges, applications, performance evaluation methods, and available datasets for benchmarks. This overview includes the detailed presentation of different approaches, which makes this book a valuable source of information in this domain of intelligent video surveillance systems. The book is composed of a well-selected collection of chapters describing each topic related to this field of research and development, as well as presenting practical applications.