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Proceedings Paper

Networked omnivision arrays for intelligent environment
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Paper Abstract

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.

Paper Details

Date Published: 14 November 2001
PDF: 6 pages
Proc. SPIE 4479, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV, (14 November 2001); doi: 10.1117/12.448339
Show Author Affiliations
Kohsia Huang, Univ. of California/San Diego (United States)
Mohan M. Trivedi, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 4479:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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