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