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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Automated Multi-Camera Surveillance: Algorithms and Practice

Automated Multi-Camera Surveillance: Algorithms and Practice

Javed, Omar
Shah, Mubarak

Paperback

Series: The International Video Computing, Book 10

ApplicationsGeneral Computers

ISBN10: 1441946268
ISBN13: 9781441946263
Publisher: Springer Nature
Published: Dec 8 2010
Pages: 110
Weight: 0.38
Height: 0.24 Width: 6.14 Depth: 9.21
Language: English
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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