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Background modeling and foreground detection for video surveillance
Bouwmans T., Porikli F., Höferlin B., Vacavant A., Chapman & Hall/CRC, Boca Raton, FL, 2014. 631 pp. Type: Book (978-1-482205-37-4)
Date Reviewed: Jun 9 2015

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.

Part 1 presents some important discussions about background subtraction techniques and problems (for example, illumination changes, noise images, camera jitter, dynamic backgrounds, and shadows), implementations using different sources of images and sensors (for example, color images, infrared/thermal images, depth cameras, and real-time embedded hardware), available datasets and software, and moving cameras. Part 2 presents and details traditional and recent models for background subtraction, focusing on some of the most important approaches and available implementations in this area. Part 3 presents applications of image processing for video surveillance, for example, shopping mall surveillance, security cameras, parking lot monitoring, maritime video surveillance, and roads and people activity monitoring. Part 4 presents an overview of different hardware devices adopted into monitoring systems, from capture devices based on single cameras, stereo camera systems, RGB-D devices, range images, or even radar systems, up to dedicated hardware processing devices based on graphics processing unit (GPU), field-programmable gate array (FPGA), digital signal processing (DSP), and application-specific integrated circuit (ASIC) hardware. Part 5 finishes the book, presenting benchmarking and evaluations of background modeling and foreground detection systems, including a presentation of the well-known BGSLibrary (background subtraction library, available to be used within OpenCV).

In conclusion, this is a very interesting, extensive, and up-to-date book about various aspects related to background subtraction for video surveillance systems. It successfully provides a complete overview and an in-depth view of this domain.

Reviewer:  Fernando Osorio Review #: CR143506 (1508-0686)
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