A QoS control method for camera network based people detection systems

Toru Abe, Adrian Agusta, Yuto Mitsuhashi, Takuo Suganuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationVISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
PublisherSciTePress
Pages242-248
Number of pages7
ISBN (Print)9789897580093
DOIs
Publication statusPublished - 2014
Event9th International Conference on Computer Vision Theory and Applications, VISAPP 2014 - Lisbon, Portugal
Duration: 2014 Jan 52014 Jan 8

Publication series

NameVISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
Volume3

Other

Other9th International Conference on Computer Vision Theory and Applications, VISAPP 2014
CountryPortugal
CityLisbon
Period14/1/514/1/8

Keywords

  • Camera network
  • People detection system
  • QoS control

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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