Task-oriented optimal view selection in a calibrated multi-camera system

A method for real-time selection of optimal view sequences for a task in a calibrated multi-camera system is presented. Selection is based on a multi-camera coverage model constructed from a priori information about the cameras, task, and scene, which are assumed to be available in the relatively controlled environments of the target application class. Experimental results demonstrate the generality and effectiveness of the algorithm and explore trade-offs in parameterization.