Zhigang Zhu 
Multimodal Surveillance 
Sensors, Algorithms, and Systems

From front-end sensors to systems and environmental issues, this practical resource guides you through the many facets of multimodal surveillance. The book examines thermal, vibration, video, and audio sensors in a broad context of civilian and military applications. This cutting-edge volume provides an in-depth treatment of data fusion algorithms that takes you to the core of multimodal surveillance, biometrics, and sentient computing. The book discusses such people and activity topics as tracking people and vehicles and identifying individuals by their speech. Systems designers benefit from discussions on 3-D scene and automatic modeling, high-end sensors for long-range tracking or high-fidelity, and low-cost sensor solutions. Developers gain new insight into architectures, frameworks, workbenches, real-time performance, and systems evaluation. Bringing together the work of leading international experts, this book is your authoritative reference on multimodal applications, methodologies, and systems implementation.