Automated Multi-Camera Surveillance
Algorithms and Practice
1st Edition
Published on 16. December 2008
X, 110 pages
978-0-387-78881-4 (ISBN)
Description
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.
More details
Other editions
Additional editions
Book
09/2008
Springer
€106.99
Shipment within 5-7 days
Content
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.
