Online Multi-Criterion Optimization for Dynamic Power-Aware Camera Configuration in Distributed Embedded Surveillance Clusters

  • Authors:
  • A. Maier;B. Rinner;W. Schriebl;H. Schwabach

  • Affiliations:
  • Graz University of Technology, Austria;Graz University of Technology, Austria;Graz University of Technology, Austria;Video and Safety Technology ARC Seibersdorf research, Austria

  • Venue:
  • AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
  • Year:
  • 2006

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Abstract

Intelligent video surveillance (IVS) systems are based on the recent development of so called embedded smart cameras. Delivering a good service quality in IVS usually results in a higher level of computing activity and therefore in increased power consumption. This work presents PoQoS, a novel approach that aims in maximizing the service quality (i.e., the number of IVSservices and their QoS) while minimizing the system's power consumption. PoQoS enables power-aware reconfiguration of services and hardware resources in distributed logical clusters of embedded smart cameras. In order to find optimal camera configurations during operation, Po- QoS integrates PoSeGA, an online genetic multi-criterion optimization algorithm. A configuration manager properly selects among optimized camera configurations and consequently initializes intra-camera or intra-cluster poweraware reconfiguration with respect to application- and situation-specific context. The evaluation of PoQoS on the PoQoCam, a powerefficient embedded smart camera platform, shows the feasibility of the presented approach.