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2007

Multi-sensory and Multi-modal Fusion for Sentient Computing

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Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sentient computing system known as “SPIRIT”. The SPIRIT system employs an ultrasonic location infrastructure to track people and devices in an office building and model their state. Vision techniques include background and object appearance modelling, face detection, segmentation, and tracking modules. Integration is achieved at the system level through the metaphor of shared perceptions, in the sense that the different modalities are guided by and provide updates to a shared world model. This model incorporates aspects of both the static (e.g. positions of office walls and doors) and the dynamic (e.g. location and appearance of devices and people) environment. Fusion and inference are performed by Bayesian networks that model the probabilistic dependencies and reliabilities of different sources of informat...
Christopher Town
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where IJCV
Authors Christopher Town
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