Overview
- State-of-the-art review of automated visual surveillance
- Hitherto unsolved issues in automation of surveillance
- New algorithms for each component of automatic surveillance including object detection, single and multi-sensor tracking, classification and event analysis
- Usage scenarios and expected results for automatic surveillance systems
Part of the book series: The International Series in Video Computing (VICO, volume 10)
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About this book
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.
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Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Automated Multi-Camera Surveillance
Book Subtitle: Algorithms and Practice
Authors: Omar Javed, Mubarak Shah
Series Title: The International Series in Video Computing
DOI: https://doi.org/10.1007/978-0-387-78881-4
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2008
Hardcover ISBN: 978-0-387-78880-7Published: 08 September 2008
Softcover ISBN: 978-1-4419-4626-3Published: 08 December 2010
eBook ISBN: 978-0-387-78881-4Published: 16 December 2008
Series ISSN: 1571-5205
Edition Number: 1
Number of Pages: X, 110
Number of Illustrations: 47 b/w illustrations
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Applications