Human Behavior Understanding in Networked Sensing e-bog

This unique text/reference provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing.Important aspects of distributed computing in large-scale networked sensor systems are analyzed in the context of human behavior understanding, including such topics as systems design tools and techniques, in-network signals, and information processing. Additionally, the book examines a varied range of application scenarios, covering surveillance, indexing and retrieval, patient care, industrial safety, social and ambient intelligence, and sports analysis.Topics and features: contains valuable contributions from an international selection of leading experts in the field; presents a high-level introduction to the aims and motivations underpinning distributed sensing; describes decision-making algorithms in the presence of complex sensor networks; provides a detailed analysis of the design, implementation, and development of a distributed network of homogeneous or heterogeneous sensors; reviews the application of distributed sensing to human behavior understanding and autonomous intelligent vehicles; includes a helpful glossary and a list of acronyms.This authoritative collection offers practical insights of great benefit to graduate students, researchers, and practitioners from such diverse communities as computer vision, networked embedded sensing, and artificial intelligence.