A Definitive Reference for Multi-Camera Networks
This comprehensive test bank covers the fundamental principles and applications of multi-camera networks, including smart camera architectures, embedded processing, sensor fusion, and middleware. It presents the latest developments in multi-camera calibration, active and heterogeneous camera networks, object and event detection, tracking, coding, and smart camera architecture and middleware.
Key Features
- In-depth coverage of multi-camera networks for smart environments, security, smart homes, multimedia, and environmental monitoring
- Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications
- Latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, and smart camera architecture and middleware
This test bank is ideal for university researchers, R&D engineers, computer engineers, and graduate students working in signal and video processing, computer vision, and sensor networks.
About the Authors
Hamid Aghajan is a Professor of Electrical Engineering (consulting) at Stanford University, with research focus on multi-camera networks for smart environments.
Andrea Cavallaro is Reader (Associate Professor) at Queen Mary, University of London (QMUL), with research focus on target tracking and audiovisual content analysis for advanced surveillance and multi-sensor systems.




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