DocumentCode :
2985153
Title :
The evolution from single to pervasive smart cameras
Author :
Rinner, Bernhard ; Winkler, Thomas ; Schriebl, Wolfgang ; Quaritsch, Markus ; Wolf, Wayne
Author_Institution :
Inst. of Networked & Embedded Syst., Klagenfurt Univ., Klagenfurt
fYear :
2008
fDate :
7-11 Sept. 2008
Firstpage :
1
Lastpage :
10
Abstract :
Having seen increased interest from the research community, smart camera systems have gone through a number of evolutionary steps like from single cameras to distributed smart camera systems with collaboration features. This work aims at defining a taxonomy to classify these systems based on their platform capabilities, the degree of distributed processing as well as system autonomy aspects covering self-configuration and mobility. Existing camera systems are classified according to the proposed taxonomy. Besides capturing the design space for smart cameras, the main contribution of this paper is an overview of the research challenges for the envisioned class of pervasive smart camera systems. As defined in this work, future pervasive smart camera systems will be visual sensor networks targeted at end-user applications where special emphasis is put on unobtrusiveness of the cameras as well as simple deployment supported by self configuration capabilities.
Keywords :
distributed sensors; image sensors; intelligent sensors; distributed processing; pervasive smart cameras; self configuration capabilities; Bandwidth; Collaboration; Distributed processing; Embedded system; Field programmable gate arrays; Image processing; Image sensors; Smart cameras; Streaming media; Taxonomy; Classification; Design Space; Pervasive Smart Cameras; Research Challenges; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on
Conference_Location :
Stanford, CA
Print_ISBN :
978-1-4244-2664-5
Electronic_ISBN :
978-1-4244-2665-2
Type :
conf
DOI :
10.1109/ICDSC.2008.4635674
Filename :
4635674
Link To Document :
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