Art gallery theorems and algorithms
Art gallery theorems and algorithms
A generic solution to polygon clipping
Communications of the ACM
A N algorithm for mutual exclusion in decentralized systems
ACM Transactions on Computer Systems (TOCS)
ACM Transactions on Computer Systems (TOCS)
Nsclick:: bridging network simulation and deployment
MSWiM '02 Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Visualisation of surveillance coverage by latency mapping
APVis '03 Proceedings of the Asia-Pacific symposium on Information visualisation - Volume 24
Organic Computing-Vision and Challenge for System Design
PARELEC '04 Proceedings of the international conference on Parallel Computing in Electrical Engineering
Distributed Peer-to-Peer Smart Cameras: Algorithms and Architectures
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
Automated camera layout to satisfy task-specific and floor plan-specific coverage requirements
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
Intelligent Distributed Video Surveillance Systems (Professional Applications of Computing) (Professional Applications of Computing)
Autonomous multicamera tracking on embedded smart cameras
EURASIP Journal on Embedded Systems
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Smart Camera Systems consist of large numbers of networked cameras which can adjust their fields of view by panning, tilting and zooming. Each Smart Camera is an embedded systems that does not just capture raw video streams but also analyses video data locally using computer vision techniques. Apart from image processing tasks the second important issue is the management of such systems, e.g. camera alignment and calibration. Due to the increasing number of cameras in these systems manual administration becomes hardly feasible. Therefore, algorithms for autonomous system organisation are needed. As a basis for these algorithms, in this paper we propose a distributed system architecture which is tailored to the requirements of Smart Camera Systems. Inspired by self-organisation -a major paradigm of Organic Computing-this paper presents an algorithm relying on our distributed architecture for one important management problem in Smart Camera Systems, i.e. the spatial partitioning of an area under observation.