Human behavior understanding in networked sensing : theory and applications of networks of sensors
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Bibliographic Information
Human behavior understanding in networked sensing : theory and applications of networks of sensors
Springer, c2014
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Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Part I: Distributed Sensing - Architectures
Towards Cognitive and Perceptive Video Systems
Toygar Akgun, Charles Attwood, Andrea Cavallaro, Christian Fabre, Fabio Poiesi, and Piotr Szczuko
Access-Centric In-Network Storage Optimization in Distributed Sensing Networks
Carsten Grenz, Sven Tomforde, and Jorg Hahner
Decentralized Human Tracking in Visual Sensor Networks: Using Sparse Representation for Efficient Communication
Serhan Cosar and Mujdat Cetin
Real-Time Tracking for Moving Target in WSN with Uncovered Holes
Huan Li, Zhefeng Sun, and Kejie Lu
Sequential Anomaly Detection Using Wireless Sensor Networks in Unknown Environment
Yuanyuan Li, Michael Thomason, and Lynne E. Parker
Part II: Distributed Sensing - Applications
A Full-Scale Hardware Solution for Crowd Evacuation via Multiple Cameras
Dimitrios Portokalidis, Ioakeim G. Georgoudas, Antonios Gasteratos, and Georgios Ch. Sirakoulis
Visual Sensor Networks - Adaptive Online Configuration of Surveillance Networks with Distributed Smart Cameras
Chengnian Long and Jing Wu
Human Detection and Tracking in Healthcare Applications Through the Use of a Network of Sensors
Arnoldo Diaz-Ramirez, Francisco A. Bonino, and Pedro Mejia-Alvarez
Automatic Players Detection and Tracking in Multi-Camera Tennis Videos
Rafael Martin and Jose M. Martinez
Data Fusion with a Dense Sensor Network for Anomaly Detection in Smart Homes
Kevin Bing-Yung Wong, Tongda Zhang, and Hamid Aghajan
People Counting Across Non-Overlapping Camera Views by Flow Estimation among Foreground Regions
Naoko Nitta, Ryota Akai, and Noboru Babaguchi
2D Human Pose Estimation and Tracking in Non-Overlapping Cameras
Murtaza Taj, Ali Hassan, and Abdul Rafay Khalid
Exploiting Crowd Synthesis for Multi-Camera Human Tracking
Zhixing Jin and Bir Bhanu
Part III: Multi-Robot Systems
Distributed Probabilistic Search and Tracking of Agile Mobile Ground Targets Using a Network of Unmanned Aerial Vehicles
Liang Sun, Stanley Baek, and Daniel Pack
A Heterogeneous Robotic Network for Distributed Ambient Assisted Living
Antonio Petitti, Donato Di Paola, Annalisa Milella, Pier Luigi Mazzeo, Paolo Spagnolo, Grazia Cicirelli, and Giovanni Attolico
Cooperative Multi-Robot Patrol in an Indoor Infrastructure
David Portugal and Rui P. Rocha
Distributed Thermal Identification and Exploitation for Multiple Soaring UAVs
Jose Antonio Cobano, David Alejo, Santiago Vera, Guillermo Heredia, Salah Sukkarieh, and Anibal Ollero
Distributed Coordination of Networked Robots for Perimeter Surveillance Tasks
Jose J. Acevedo, Begona C. Arrue, Ivan Maza, and Anibal Ollero
Social-Aware Coordination of Multi-Robot Systems Based on Institutions
Jose N. Pereira, Porfirio Silva, Pedro U. Lima, and Alcherio Martinoli
Design of Safety Map with Collectives of Smartphone Sensors
Dang Viet Chau, Masao KUBO, Hiroshi Sato, and Akira Namatame
by "Nielsen BookData"
