Stefano Michieletto

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This paper proposes a fast and robust multi-people tracking algorithm for mobile platforms equipped with a RGB-D sensor. Our approach features an efficient point cloud depth-based clustering, an HOG-like classification to robustly initialize a person tracking and a person classifier with online learning to manage the person ID matching even after a full(More)
—In this work a dual laser triangulation system is presented for fast building of 2.5D textured models of objects within a production line. This scanner is designed to produce data suitable for 3D completeness inspection algorithms. For this purpose two laser projectors have been used in order to considerably reduce the problem of occlusions in the camera(More)
In the last years, Robot Learning from Demonstration (RLfD) [1] [2] has become a major topic in robotics research. The main reason for this is that programming a robot can be a very difficult and time spending task. The RLfD paradigm has been applied to a great variety of robots, but it is still difficult to make the robot learn a task properly. Often the(More)
— In controlled industrial environments, laser triangulation is an effective technique for 3D reconstruction, which is increasingly being used for quality inspection and metrology. In this paper, we propose a method for calibrating a dual laser triangulation system – consisting of a camera, two line lasers, and a linear motion platform – designed to perform(More)
In this paper, we present an improved version of our Dual Laser Triangu-lation System, a low-cost color 3D model acquisition system built with commonly available machine vision products. The system produces a color point cloud model of scanned objects that can be used to perform completeness inspection tasks on assembly lines. In particular, we show that(More)
—Modern human action recognition algorithms which exploit 3D information mainly classify video sequences by extracting local or global features from the RGB-D domain or classifying the skeleton information provided by a skeletal tracker. In this paper, we propose a comparison between two techniques which share the same classification process, while(More)