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On-line control of active camera networks for computer vision tasks
2011
2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras
Large networks of cameras have been increasingly employed to capture dynamic events for tasks such as surveillance and training. When using active cameras to capture events distributed throughout a large area, human control becomes impractical and unreliable. This has led to the development of automated approaches for on-line camera control. We introduce a new automated camera control approach that consists of a stochastic performance metric and a constrained optimization method. The metric
doi:10.1109/icdsc.2011.6042926
dblp:conf/icdsc/IlieW11
fatcat:323xihmfu5dlbgwckccga2zopy