Intelligent environments are systems that are aware of the spatial information and activities within them through sensors and interact with people in a natural and unobtrusive way. An intelligent system using networked omnivision array is proposed based on specified requirements of intelligent environments. It utilizes Omni-Directional Vision Sensor (ODVS) network as the sensory input. ODVS optical modeling is described, which allows panoramic and perspective view generation. A 3D tracker based on the ODVS network is constructed. Using the tracking information, active camera selection and dynamic perspective view generation enable real-time face tracking. Face recognition is also implemented for person identification. Current results of the modules and extensions to the system are also discussed.
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