DocumentCode :
1931012
Title :
PhD forum: Flexible clustering in smart camera networks
Author :
Dieber, Bernhard ; Rinner, Bernhard
Author_Institution :
Video & Security Technol., Austrian Inst. of Technol., Vienna, Austria
fYear :
2009
fDate :
Aug. 30 2009-Sept. 2 2009
Firstpage :
1
Lastpage :
2
Abstract :
Clustering is an important concept for structuring large networks of cameras. In this research we investigate the various trade offs of clustering in networks of smart cameras. Major research questions in this context are (i) how to model clustering, (ii) how to deal with the heterogeneity in large camera networks, and (iii) how to integrate clustering in real-world networks. We have developed a flexible and scalable software suite that supports clustering in camera networks. We present first results in a multi-camera person tracking case study.
Keywords :
cameras; pattern clustering; target tracking; flexible clustering; multi-camera person tracking; smart camera networks; Application software; Fuses; Monitoring; Pipelines; Prototypes; Scalability; Smart cameras; Software prototyping; Software testing; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Smart Cameras, 2009. ICDSC 2009. Third ACM/IEEE International Conference on
Conference_Location :
Como
Print_ISBN :
978-1-4244-4620-9
Electronic_ISBN :
978-1-4244-4620-9
Type :
conf
DOI :
10.1109/ICDSC.2009.5289392
Filename :
5289392
Link To Document :
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