Nello Balossino

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Human gait is an important biometric feature for automatic people recognition. Biometric methodologies are generally intrusive and require the collaboration of the subject in order to perform accurate data acquisition. Gait, instead, can be captured at a distance and without collaboration. This makes it an unobtrusive method for recognizing people in video(More)
Gait exhibits several advantages with respect to other biometrics features: acquisition can be performed through cheap technology, at a distance and without people collaboration. In this paper we perform gait analysis using skeletal data provided by the Microsoft Kinect sensor. We defined a rich set of physical and behavioral features aiming at identifying(More)
Design and engineering of space vehicles involve several different disciplines, each of which have specific research methodologies and software tools. Interaction among the physical analysis tools, as well as collaboration among teams, is a delicate and difficult subject of collaborative engineering research topics. This paper presents a solution based on a(More)
Most of the works for solving early vision problems, such as stereo, rely on inference techniques and cyclic graphical models. Although Loopy Belief Propagation is one of the most interesting tools as it applies to that research field, loops are still a major challenge to face: the main problem arising with them is the introduction of approximation issues(More)
The paper deals with the design and implementation of a stereo algorithm. Disparity map is formulated as a Markov Random Field with a new smoothness constraint depending not only on image derivatives, but also on segmentation results and gradient directions. With these constraints we force disparity continuity inside each segmented object, while its(More)
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