Authors:
Toru Abe
1
;
Adrian Agusta
2
;
Yuto Mitsuhashi
1
and
Takuo Suganuma
1
Affiliations:
1
Tohoku University, Japan
;
2
Yamaha Motor Co. and Ltd., Japan
Keyword(s):
Camera Network, People Detection System, QoS Control.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Camera Networks and Vision
;
Computer Vision, Visualization and Computer Graphics
;
Motion, Tracking and Stereo Vision
;
Video Surveillance and Event Detection
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 resource
s, 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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