CamSim: a distributed smart camera network simulator

Lukas Esterle; Peter R. Lewis; Horatio Caine; Xin Yao; Bernhard Rinner

doi:10.1109/SASOW.2013.11

CamSim: a distributed smart camera network simulator

Lukas Esterle
, Peter R. Lewis
, Horatio Caine
, Xin Yao
, Bernhard Rinner

Alpen-Adria Universitat Klagenfurt
University College Birmingham

Research output: Chapter in Book/Published conference output › Conference publication

15 Citations (Scopus)

182 Downloads (Pure)

Abstract

Smart cameras allow pre-processing of video data on the camera instead of sending it to a remote server for further analysis. Having a network of smart cameras allows various vision tasks to be processed in a distributed fashion. While cameras may have different tasks, we concentrate on distributed tracking in smart camera networks. This application introduces various highly interesting problems. Firstly, how can conflicting goals be satisfied such as cameras in the network try to track objects while also trying to keep communication overhead low? Secondly, how can cameras in the network self adapt in response to the behavior of objects and changes in scenarios, to ensure continued efficient performance? Thirdly, how can cameras organise themselves to improve the overall network's performance and efficiency? This paper presents a simulation environment, called CamSim, allowing distributed self-adaptation and self-organisation algorithms to be tested, without setting up a physical smart camera network. The simulation tool is written in Java and hence allows high portability between different operating systems. Relaxing various problems of computer vision and network communication enables a focus on implementing and testing new self-adaptation and self-organisation algorithms for cameras to use.

Original language	English
Title of host publication	Proceedings : IEEE 7th international conference on Self-Adaptation and Self-Organizing Systems Workshops
Subtitle of host publication	SASOW 2013
Publisher	IEEE
Pages	19-20
Number of pages	2
ISBN (Print)	978-1-4799-5086-7
DOIs	https://doi.org/10.1109/SASOW.2013.11
Publication status	Published - 2014
Event	7th international conference on Self-Adaptation and Self-Organizing Systems Workshops - Philadelphia, PA, United States Duration: 9 Sept 2013 → 13 Sept 2013

Workshop

Workshop	7th international conference on Self-Adaptation and Self-Organizing Systems Workshops
Abbreviated title	SASOW 2013
Country/Territory	United States
City	Philadelphia, PA
Period	9/09/13 → 13/09/13

Bibliographical note

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

computer vision
distributed smart cameras
self-adaptation
self-organisation
simulation
software

Access to Document

10.1109/SASOW.2013.11

CamSim_a distributed smart camera network simulator
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 144 KB

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6803249

Cite this

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title = "CamSim: a distributed smart camera network simulator",

abstract = "Smart cameras allow pre-processing of video data on the camera instead of sending it to a remote server for further analysis. Having a network of smart cameras allows various vision tasks to be processed in a distributed fashion. While cameras may have different tasks, we concentrate on distributed tracking in smart camera networks. This application introduces various highly interesting problems. Firstly, how can conflicting goals be satisfied such as cameras in the network try to track objects while also trying to keep communication overhead low? Secondly, how can cameras in the network self adapt in response to the behavior of objects and changes in scenarios, to ensure continued efficient performance? Thirdly, how can cameras organise themselves to improve the overall network's performance and efficiency? This paper presents a simulation environment, called CamSim, allowing distributed self-adaptation and self-organisation algorithms to be tested, without setting up a physical smart camera network. The simulation tool is written in Java and hence allows high portability between different operating systems. Relaxing various problems of computer vision and network communication enables a focus on implementing and testing new self-adaptation and self-organisation algorithms for cameras to use.",

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author = "Lukas Esterle and Lewis, \{Peter R.\} and Horatio Caine and Xin Yao and Bernhard Rinner",

note = "{\textcopyright} 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 7th international conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013 ; Conference date: 09-09-2013 Through 13-09-2013",

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language = "English",

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publisher = "IEEE",

address = "United States",

}

Esterle, L, Lewis, PR, Caine, H, Yao, X & Rinner, B 2014, CamSim: a distributed smart camera network simulator. in Proceedings : IEEE 7th international conference on Self-Adaptation and Self-Organizing Systems Workshops: SASOW 2013. IEEE, pp. 19-20, 7th international conference on Self-Adaptation and Self-Organizing Systems Workshops, Philadelphia, PA, United States, 9/09/13. https://doi.org/10.1109/SASOW.2013.11

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AU - Esterle, Lukas

AU - Lewis, Peter R.

AU - Caine, Horatio

AU - Yao, Xin

AU - Rinner, Bernhard

N1 - © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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N2 - Smart cameras allow pre-processing of video data on the camera instead of sending it to a remote server for further analysis. Having a network of smart cameras allows various vision tasks to be processed in a distributed fashion. While cameras may have different tasks, we concentrate on distributed tracking in smart camera networks. This application introduces various highly interesting problems. Firstly, how can conflicting goals be satisfied such as cameras in the network try to track objects while also trying to keep communication overhead low? Secondly, how can cameras in the network self adapt in response to the behavior of objects and changes in scenarios, to ensure continued efficient performance? Thirdly, how can cameras organise themselves to improve the overall network's performance and efficiency? This paper presents a simulation environment, called CamSim, allowing distributed self-adaptation and self-organisation algorithms to be tested, without setting up a physical smart camera network. The simulation tool is written in Java and hence allows high portability between different operating systems. Relaxing various problems of computer vision and network communication enables a focus on implementing and testing new self-adaptation and self-organisation algorithms for cameras to use.

AB - Smart cameras allow pre-processing of video data on the camera instead of sending it to a remote server for further analysis. Having a network of smart cameras allows various vision tasks to be processed in a distributed fashion. While cameras may have different tasks, we concentrate on distributed tracking in smart camera networks. This application introduces various highly interesting problems. Firstly, how can conflicting goals be satisfied such as cameras in the network try to track objects while also trying to keep communication overhead low? Secondly, how can cameras in the network self adapt in response to the behavior of objects and changes in scenarios, to ensure continued efficient performance? Thirdly, how can cameras organise themselves to improve the overall network's performance and efficiency? This paper presents a simulation environment, called CamSim, allowing distributed self-adaptation and self-organisation algorithms to be tested, without setting up a physical smart camera network. The simulation tool is written in Java and hence allows high portability between different operating systems. Relaxing various problems of computer vision and network communication enables a focus on implementing and testing new self-adaptation and self-organisation algorithms for cameras to use.

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PB - IEEE

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ER -

CamSim: a distributed smart camera network simulator

Abstract

Workshop

Bibliographical note

Keywords

Access to Document

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