Activity Monitoring by Multiple Distributed Sensing
Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers
Published on 5. December 2014
Book
Paperback/Softback
IX, 117 pages
978-3-319-13322-5 (ISBN)
Description
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Activity Monitoring by Multiple Distributed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of ICPR 2014, the 22nd International Conference on Pattern Recognition. The 9 revised full papers included in the volume investigate the challenges that arise when distributed sensor networks are used to track, monitor, and understand the activity, intent, and motives of human beings. Application areas include human-computer interaction, user interface design, robot learning, and surveillance.
More details
Series
Edition
2014 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
64 s/w Abbildungen
IX, 117 p. 64 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
207 gr
ISBN-13
978-3-319-13322-5 (9783319133225)
DOI
10.1007/978-3-319-13323-2
Schweitzer Classification
Other editions
Additional editions
Pier Luigi Mazzeo | Paolo Spagnolo | Thomas B. Moeslund
Activity Monitoring by Multiple Distributed Sensing
Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers
E-Book
11/2014
Springer
€42.79
Available for download
Content
A Distributed Cooperative Architecture for Robotic Networks with Application to Ambient Intelligence.- A Customizable Approach for Monitoring Activities of Elderly Users in Their Homes.- The AVA Multi-View Dataset for Gait Recognition.- Topological Features for Monitoring Human Activities at Distance.- TLD and Struck: A Feature Descriptors Comparative Study.- Group Sleepiness Measurement in Classroom.- A Semantic Reasoner Using Attributed Graphs Based on Intelligent Fusion of Security Multi-sources Information.- Visual Tracking via Sparse Representation and Online Dictionary Learning.- A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain.