Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Optimal Camera Placement for Automated Surveillance Tasks
Journal of Intelligent and Robotic Systems
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
International Journal of Computer Vision
Multi-Camera Human Activity Monitoring
Journal of Intelligent and Robotic Systems
Extended ant colony optimization for non-convex mixed integer nonlinear programming
Computers and Operations Research
Journal of Global Optimization
Optimal sensor placement with signal propagation effects and inhomogeneous coverage preferences
International Journal of Sensor Networks
Approximate Boolean Operations on Large Polyhedral Solids with Partial Mesh Reconstruction
IEEE Transactions on Visualization and Computer Graphics
Generalized multi-sensor planning
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Optimal placement and selection of camera network nodes for target localization
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
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In modern production facilities industrial robots and humans are supposed to share a common working area. To avoid collisions, the distances between objects need to be measured conservatively, which can be done by a camera network. To estimate these distances, unmodelled objects, e.g. an interacting human, need to be modelled and distinguished from pre-modelled objects, like workbenches or robots, by image processing such as the background subtraction method. The quality of such an approach massively depends on the position and orientation of each camera. Of particular interest in this context is the error minimisation of the above mentioned distance determined by image processing. Here, we formulate this minimisation as an abstract optimisation problem. Moreover, we state various aspects on the implementation, e.g. reasons for the selection of a suitable optimisation method, analyse the complexity of the proposed method and present a basic version used for extensive experiments.