2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007
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Abstract

In this article we present our software framework for embedded online data fusion, called I-SENSE. We discuss the fusion model and the decision modeling approach using Support Vector Machines. Due to the system complexity and the genetic approach a data oriented model is introduced. The main focus of the article is targeted at our techniques for extracting features of acoustic- and visual-data. Experimental results of our “traffic surveillance” case study demonstrate the feasibility of our multi-level data fusion approach.
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