From the streets of London to subway stations in New York City, hundreds of thousands of surveillance cameras are constantly collecting videos. The latest implementation of surveillance cameras calls for advanced video systems that can autonomously recognize people, detect movements, and identify targeted activities in real-time. In response to such demand, this book examines the fundamental principles of current intelligent video surveillance systems. The text provides a comprehensive look at the algorithmic design and ...
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From the streets of London to subway stations in New York City, hundreds of thousands of surveillance cameras are constantly collecting videos. The latest implementation of surveillance cameras calls for advanced video systems that can autonomously recognize people, detect movements, and identify targeted activities in real-time. In response to such demand, this book examines the fundamental principles of current intelligent video surveillance systems. The text provides a comprehensive look at the algorithmic design and system implementation for intelligent video surveillance. The authors cover computational principles, system implementation issues, and practical applications of present and future systems.
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