A QoS Control Method for Camera Network based People Detection Systems

Toru Abe, Adrian Agusta, Yuto Mitsuhashi, Takuo Suganuma

2014

Abstract

Various people detection systems based on camera networks have been developed, and their services (output of users’ locations) are utilized in a variety of applications. Usually, each application requires a people detection system to keep its quality-of-service (QoS) at a certain level. However, required system QoS levels vary widely among different applications, and the QoS requirements of each application range over various QoS factors, such as the coverage area, resolution, and frequency of users’ locations. Moreover, the tradeoff between QoS factors arises from limitations on the system resources, which fluctuate due to changes in circumstances. Consequently, it is difficult for such systems to stably fulfill the diverse QoS requirements of individual applications. To deal with these difficulties, we propose a QoS control method for camera network based people detection systems. Taking into account the trade-off between several QoS factors under limited and varied system resources, our method dynamically adjusts system parameters and controls system QoS to provide each application with users’ locations at a required QoS level. Experimental results indicate that our method well maintain system QoS for the changes in application requirements and system resources.

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Paper Citation


in Harvard Style

Abe T., Agusta A., Mitsuhashi Y. and Suganuma T. (2014). A QoS Control Method for Camera Network based People Detection Systems . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 242-248. DOI: 10.5220/0004845202420248


in Bibtex Style

@conference{visapp14,
author={Toru Abe and Adrian Agusta and Yuto Mitsuhashi and Takuo Suganuma},
title={A QoS Control Method for Camera Network based People Detection Systems},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={242-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004845202420248},
isbn={978-989-758-009-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - A QoS Control Method for Camera Network based People Detection Systems
SN - 978-989-758-009-3
AU - Abe T.
AU - Agusta A.
AU - Mitsuhashi Y.
AU - Suganuma T.
PY - 2014
SP - 242
EP - 248
DO - 10.5220/0004845202420248