Alessandro Cionini

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A method is proposed for gesture recognition and humanoid imitation based on Functional Principal Component Analysis (FPCA). FPCA is a statistical technique of functional data analysis that has never been applied before for humanoid imitation. In functional data analysis data (e.g. gestures) are functions that can be considered as observations of a random(More)
This paper presents the main contributions of the University of Parma to the V-Charge Project, which focuses on the development of an automated valet parking and charging system. Different modules have been developed including a classifier of the regions of interest provided by an external stereo system, a detection and tracking algorithm covering the area(More)
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