Functionality Delegation in Distributed Surveillance Systems

The utilization of multimedia devices is growing rapidlyin surveillance and monitoring applications. These multimediasurveillance systems need to process large amountsof multimodal sensor data in order to detect events and objects.While processing this large amount of data, the systemfaces many processing and network bottlenecks. Thedesign of efficient multimedia surveillance system requiresintelligent architectural decisions and performance evaluationto cope with these resource demands. One critical issueamong all these architectures is task assignment amongprocessing units. To study the effect of this task assignmenton system performance with quantifiable performancemeasures is very useful and challenging. We define a FunctionalityDelegation Coefficient which abstracts the delegationof functionality among processing units of a distributedsurveillance system and show its effect on event blockingprobability and response time. Simulation and real implementationresults are provided to validate the model.

[1]  Mohan S. Kankanhalli,et al.  Information assimilation framework for event detection in multimedia surveillance systems , 2006, Multimedia Systems.

[2]  S. Muller-Schneiders,et al.  Performance evaluation of a real time video surveillance system , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.

[3]  Philip S. Yu,et al.  Tradeoffs between centralized and geographically distributed transaction processing systems , 1991 .

[4]  Mohan S. Kankanhalli,et al.  A Flexible Surveillance System Architecture , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

[5]  Sergio A. Velastin,et al.  Intelligent distributed surveillance systems: a review , 2005 .

[6]  N. Lazarevic-McManus,et al.  Performance evaluation in visual surveillance using the F-measure , 2006, VSSN '06.

[7]  Wei Tsang Ooi,et al.  Critical video quality for distributed automated video surveillance , 2005, MULTIMEDIA '05.

[8]  Alfio Lombardo,et al.  A Simple Analytical Framework for the Performance Evaluation of a Tree-Based Connection Rerouting Architecture in a UMTS Network , 2002, Wirel. Networks.

[9]  Lisa M. Brown,et al.  IBM smart surveillance system (S3): a open and extensible framework for event based surveillance , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

[10]  Peter B. Danzig.  An analytical model of operating system protocol processing including effects of multiprogramming , 1991, SIGMETRICS '91.

[11]  Carl M. Harris,et al.  Fundamentals of queueing theory (2nd ed.). , 1985 .

[12]  Mohan S. Kankanhalli,et al.  Performance Modeling of Multimedia Surveillance Systems , 2009, 2009 11th IEEE International Symposium on Multimedia.

[13]  Sergio A. Velastin,et al.  How close are we to solving the problem of automated visual surveillance? , 2008, Machine Vision and Applications.

[14]  Jorge S. Marques,et al.  Performance evaluation of object detection algorithms for video surveillance , 2006, IEEE Transactions on Multimedia.