Aarhus University Seal / Aarhus Universitets segl

Lukas Esterle

CamSim: A distributed smart camera network simulator

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisKonferenceartikelForskningpeer review

Standard

CamSim : A distributed smart camera network simulator. / Esterle, Lukas; Lewis, Peter R.; Caine, Horatio; Yao, Xin; Rinner, Bernhard.

I: Proceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013, 01.01.2013, s. 19-20.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisKonferenceartikelForskningpeer review

Harvard

Esterle, L, Lewis, PR, Caine, H, Yao, X & Rinner, B 2013, 'CamSim: A distributed smart camera network simulator', Proceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013, s. 19-20. https://doi.org/10.1109/SASOW.2013.11

APA

Esterle, L., Lewis, P. R., Caine, H., Yao, X., & Rinner, B. (2013). CamSim: A distributed smart camera network simulator. Proceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013, 19-20. https://doi.org/10.1109/SASOW.2013.11

CBE

Esterle L, Lewis PR, Caine H, Yao X, Rinner B. 2013. CamSim: A distributed smart camera network simulator. Proceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013. 19-20. https://doi.org/10.1109/SASOW.2013.11

MLA

Esterle, Lukas o.a.. "CamSim: A distributed smart camera network simulator". Proceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013. 2013, 19-20. https://doi.org/10.1109/SASOW.2013.11

Vancouver

Esterle L, Lewis PR, Caine H, Yao X, Rinner B. CamSim: A distributed smart camera network simulator. Proceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013. 2013 jan 1;19-20. https://doi.org/10.1109/SASOW.2013.11

Author

Esterle, Lukas ; Lewis, Peter R. ; Caine, Horatio ; Yao, Xin ; Rinner, Bernhard. / CamSim : A distributed smart camera network simulator. I: Proceedings - IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013. 2013 ; s. 19-20.

Bibtex

@inproceedings{8d96bbe330484eaeba616d21ff086b38,
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.",
keywords = "computer vision, distributed smart cameras, self-adaptation, self-organisation, simulation, software",
author = "Lukas Esterle and Lewis, {Peter R.} and Horatio Caine and Xin Yao and Bernhard Rinner",
year = "2013",
month = jan,
day = "1",
doi = "10.1109/SASOW.2013.11",
language = "English",
pages = "19--20",
journal = "Nyt fra Arbejdsministeriet",
note = "7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013 ; Conference date: 09-09-2013 Through 13-09-2013",

}

RIS

TY - GEN

T1 - CamSim

T2 - 7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems Workshops, SASOW 2013

AU - Esterle, Lukas

AU - Lewis, Peter R.

AU - Caine, Horatio

AU - Yao, Xin

AU - Rinner, Bernhard

PY - 2013/1/1

Y1 - 2013/1/1

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.

KW - computer vision

KW - distributed smart cameras

KW - self-adaptation

KW - self-organisation

KW - simulation

KW - software

UR - http://www.scopus.com/inward/record.url?scp=84901199596&partnerID=8YFLogxK

U2 - 10.1109/SASOW.2013.11

DO - 10.1109/SASOW.2013.11

M3 - Conference article

AN - SCOPUS:84901199596

SP - 19

EP - 20

JO - Nyt fra Arbejdsministeriet

JF - Nyt fra Arbejdsministeriet

Y2 - 9 September 2013 through 13 September 2013

ER -