OBERTI , Franco

This work aims at proposing a higher-order moments analysis, in order to obtain an effective characterisation (in a non-Gaussian sense) of the global DS/CDMA noise in the case of few-user systems and short spreading codes. The use of the Edgeworth series expansion, whose terms are directly linked with the statistical cumulants allows to reach a...

This paper proposes a video-surveillance system that is able to track and automatically classify objects detected in a scene. A common object representation based on corners is used for tracking and for classification. Recognition module is based on a self organizing decision tree (SHOSLIF) that is automatically generated by the system during a...