Titus Zaharia

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In this paper, we introduce a new set of 3D gesture descriptors based on the laban movement analysis model. The proposed descriptors are used in a machine learning framework (with SVM and different random forest techniques) for both gesture recognition and emotional analysis purposes. In a first experiment, we test our expressivity model for action(More)
In this paper, we introduce a novel computer vision-based perception system, dedicated to the autonomous navigation of visually impaired people. A first feature concerns the real-time detection and recognition of obstacles and moving objects present in potentially cluttered urban scenes. To this purpose, a motion-based, real-time object detection and(More)
In this paper, we present an interactive segmentation method, designed to help the user to extract an object of interest from an image. The proposed approach adopts the scribble-based segmentation paradigm. The user interaction consists of specifying a set of lines, corresponding to both foreground and background scribbles. The segmentation process is based(More)
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