Title | ||
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A cluster-based computing infrastructure for wide-area multi-modal surveillance networks |
Abstract | ||
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Wide-area surveillance networks of diverse sensors present unique challenges for processing the massive amount of data generated. This paper presents a general, flexible computing infrastructure based on free and open-source software components to tackle the problem of quasi-realtime processing of time-sensitive surveillance data. The integration of NIST's SmartFlow system enables the transport of data to a Rocks-based cluster of computers for more CPU-intensive computations. Services, metadata, and events are made available to the network via a central server called the Blackboard. This allows application programmers to access the raw sensor data within a user-settable time-to-live. A general processing framework based on Trolltech's Qt4 signal and slot mechanism hides the complexity of multi-threaded programming and enables users to fully exploit the potential of the SMP machines in the cluster. Case studies are presented for an independent agent detector that uses multiple cameras as well as scalability results and for the processing of massively multi-channel audio data from a microphone array to achieve e.g. sound-source location in near-realtime. |
Year | DOI | Venue |
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2008 | 10.1109/ISCAS.2008.4541856 | Seattle, WA |
Keywords | Field | DocType |
client-server systems,multi-threading,public domain software,wide area networks,workstation clusters,Blackboard server,SMP machine,SmartFlow system,cluster-based computing,free software,metadata,multithreaded programming,open-source software,quasirealtime processing,time-sensitive surveillance data,wide-area multimodal surveillance networks | Metadata,Multithreading,Computer science,Thread (computing),Exploit,Real-time computing,Electronic engineering,Microphone array,NIST,Component-based software engineering,Distributed computing,Scalability | Conference |
ISSN | ISBN | Citations |
0271-4302 | 978-1-4244-1684-4 | 1 |
PageRank | References | Authors |
0.35 | 3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jens Hannemann | 1 | 8 | 2.07 |
Kevin D. Donohue | 2 | 1 | 0.35 |
Hank Dietz | 3 | 1 | 0.35 |