Resource-aware configuration in smart camera networks

Bernhard RINNER; Bernhard DIEBER; Lukas ESTERLE; Peter R. LEWIS; Xin YAO

doi:10.1109/CVPRW.2012.6239207

Resource-aware configuration in smart camera networks

Bernhard RINNER, Bernhard DIEBER, Lukas ESTERLE, Peter R. LEWIS, Xin YAO

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

17 Citations (Scopus)

Abstract

A recent trend in smart camera networks is that they are able to modify the functionality during runtime to better reflect changes in the observed scenes and in the specified monitoring tasks. In this paper we focus on different configuration methods for such networks. A configuration is given by three components: (i) a description of the camera nodes, (ii) a specification of the area of interest by means of observation points and the associated monitoring activities, and (iii) a description of the analysis tasks. We introduce centralized, distributed and proprioceptive configuration methods and compare their properties and performance. © 2012 IEEE.

Original language	English
Title of host publication	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Pages	58-65
Number of pages	8
DOIs	https://doi.org/10.1109/CVPRW.2012.6239207
Publication status	Published - Jun 2012
Externally published	Yes

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10.1109/CVPRW.2012.6239207

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title = "Resource-aware configuration in smart camera networks",

abstract = "A recent trend in smart camera networks is that they are able to modify the functionality during runtime to better reflect changes in the observed scenes and in the specified monitoring tasks. In this paper we focus on different configuration methods for such networks. A configuration is given by three components: (i) a description of the camera nodes, (ii) a specification of the area of interest by means of observation points and the associated monitoring activities, and (iii) a description of the analysis tasks. We introduce centralized, distributed and proprioceptive configuration methods and compare their properties and performance. {\textcopyright} 2012 IEEE.",

author = "Bernhard RINNER and Bernhard DIEBER and Lukas ESTERLE and LEWIS, {Peter R.} and Xin YAO",

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AU - ESTERLE, Lukas

AU - LEWIS, Peter R.

AU - YAO, Xin

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AB - A recent trend in smart camera networks is that they are able to modify the functionality during runtime to better reflect changes in the observed scenes and in the specified monitoring tasks. In this paper we focus on different configuration methods for such networks. A configuration is given by three components: (i) a description of the camera nodes, (ii) a specification of the area of interest by means of observation points and the associated monitoring activities, and (iii) a description of the analysis tasks. We introduce centralized, distributed and proprioceptive configuration methods and compare their properties and performance. © 2012 IEEE.

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DO - 10.1109/CVPRW.2012.6239207

M3 - Conference paper (refereed)

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SP - 58

EP - 65

BT - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

ER -

Resource-aware configuration in smart camera networks

Abstract

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