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Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors Softcover Repri Edition
Contributor(s): Spagnolo, Paolo (Editor), Mazzeo, Pier Luigi (Editor), Distante, Cosimo (Editor)
ISBN: 331935843X     ISBN-13: 9783319358437
Publisher: Springer
OUR PRICE:   $52.24  
Product Type: Paperback - Other Formats
Published: September 2016
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Computers | Computer Graphics
- Computers | Networking - Hardware
- Computers | Intelligence (ai) & Semantics
Dewey: 004.6
Physical Information: 459 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.