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Human Behavior Understanding in Networked Sensing

Theory and Applications of Networks of Sensors

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  • © 2014

Overview

  • Highly interdisciplinary in scope, bridging computer vision, networked embedded sensing and artificial intelligence

  • Explores both technical challenges in sensor network development, and real-world applications

  • Examines a broad range of applications, including surveillance, patient care, industrial safety, and sports analysis

  • Includes supplementary material: sn.pub/extras

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Table of contents (20 chapters)

  1. Distributed Sensing: Architectures

  2. Distributed Sensing: Applications

  3. Multi-robot Systems

Keywords

About this book

This book 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 topics on systems design tools and techniques. Additionally, the book examines a varied range of applications. 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.

Editors and Affiliations

  • National Research Council, Lecce, Italy

    Paolo Spagnolo, Pier Luigi Mazzeo, Cosimo Distante

Bibliographic Information

  • Book Title: Human Behavior Understanding in Networked Sensing

  • Book Subtitle: Theory and Applications of Networks of Sensors

  • Editors: Paolo Spagnolo, Pier Luigi Mazzeo, Cosimo Distante

  • DOI: https://doi.org/10.1007/978-3-319-10807-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-10806-3Published: 25 November 2014

  • Softcover ISBN: 978-3-319-35843-7Published: 24 September 2016

  • eBook ISBN: 978-3-319-10807-0Published: 06 November 2014

  • Edition Number: 1

  • Number of Pages: XVIII, 459

  • Number of Illustrations: 25 b/w illustrations, 208 illustrations in colour

  • Topics: Image Processing and Computer Vision, Computer Communication Networks, Artificial Intelligence

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