Activity monitoring by multiple distributed sensing [electronic resource] : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014 : revised selected papers / Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund (Eds.).
AMMDS (Workshop) (2nd : 2014 : Stockholm, Sweden); Mazzeo, Pier Luigi.; Spagnolo, Paolo.; Moeslund, Thomas B.
2014
TK7872.D48
Available Online

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Title Activity monitoring by multiple distributed sensing [electronic resource] : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014 : revised selected papers / Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund (Eds.).
Meeting Name AMMDS (Workshop) (2nd : 2014 : Stockholm, Sweden)
ISBN 9783319133232 electronic book
3319133233 electronic book
9783319133225
3319133225
Published Cham : Springer, [2014]
Printed ©2014
Language English
Description 1 online resource (ix, 117 pages) : illustrations.
Call Number TK7872.D48
Dewey Decimal Classification 004.6
Summary 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.
Note Includes author index.
Access Note Access limited to authorized users.
Added Author Mazzeo, Pier Luigi.
Spagnolo, Paolo.
Moeslund, Thomas B.
Series Lecture notes in computer science ; 8703.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
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All Resources
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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.

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