Automated Multi-Camera Surveillance - Algorithms and Practice

The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry. Automated Multi-Camera Surveillance addresses monitoring of people and vehicles, and detection of threatening objects and events in a variety of scenarios. In this book, techniques for development of an automated multi-camera surveillance system are discussed and proposed. The state-of-the-art in the automated surveillance systems is reviewed as well. Detailed explanation of sub-components of surveillance systems are provided, and enhancements to each of these components are proposed. The authors identify important challenges that such a system must address, and propose solutions. Development of a specific surveillance system called "KNIGHT" is described, along with the authors' experience using it. This book enables the reader to understand the mathematical models and algorithms underlying automated surveillance as well as the benefits and limitations of using such methods.

List of contents

Automated Video Surveillance.- Identifying Regions of Interest in Image Sequences.- Object Detection and Categorization.- Object Tracking in a Single Camera.- Tracking in Multiple Cameras with Disjoint Views.- Knight Surveillance System Deployment.- Concluding Remarks.

Summary

The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry. Automated Multi-Camera Surveillance addresses monitoring of people and vehicles, and detection of threatening objects and events in a variety of scenarios. In this book, techniques for development of an automated multi-camera surveillance system are discussed and proposed. The state-of-the-art in the automated surveillance systems is reviewed as well. Detailed explanation of sub-components of surveillance systems are provided, and enhancements to each of these components are proposed. The authors identify important challenges that such a system must address, and propose solutions. Development of a specific surveillance system called “KNIGHT” is described, along with the authors’ experience using it. This book enables the reader to understand the mathematical models and algorithms underlying automated surveillance as well as the benefits and limitations of using such methods.

Product details

• Authors: Oma Javed, Omar Javed, Mubarak Shah
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 28.04.2011
• EAN: 9780387788807
• ISBN: 978-0-387-78880-7
• No. of pages: 110
• Dimensions: 155 mm x 10 mm x 235 mm
• Weight: 319 g
• Illustrations: X, 110 p. 47 illus.
• Series: The International Series in Video Computing; International Series in Video; The International Series in Video Computing; International Series in Video; The International Video Comput
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; B, Artificial Intelligence, computer science, Computer Vision, Computer Applications, Image Processing and Computer Vision, pattern recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer and Information Systems Applications, Application software, Automated Pattern Recognition, Information technology: general issues, Optical data processing, Image processing